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| Q110527761 | Analisis radiograf periapikal menggunakan software imageJ pada abses periapikal setelah perawatan endodontik |
| Q110527721 | Analysis and display of nystagmus using ImageJ-Based on the material for the standard examination of equilibrium- |
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| Q110527745 | Analysis of the Liver of Fish Species Prochilodus lineatus Altered Environments, Analyzed with ImageJ |
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| Q58564551 | Analyzing Subsidies in Microsoft Excel |
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| Q45943860 | Analyzing microtomography data with Python and the scikit-image library. |
| Q106862068 | Analyzing the GitHub Repositories of Research Papers |
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| Q110500261 | Android-Based Eucheuma Species Recognition and Disease Detection using Tensorflow API |
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| Q110527774 | Análise granulométrica de sedimentos arenosos de praias através de imagens digitais. Descrição de um protocolo de mensuração de partículas no software ImageJ - Fiji |
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| Q110527763 | Application of ImageJ for processing Shilajit exposed PBMC images |
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| Q110527756 | Application of ImageJ software for quantification of Hand Joint Space Narrowing in Patients with Rheumatoid Arthritis |
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| Q57525767 | Applied Statistics Using SPSS, STATISTICA, MATLAB and R, 2nd Edition by Joaquim P. Marques de Sá |
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| Q108126752 | Appyters: Turning Jupyter Notebooks into data-driven web apps |
| Q108305552 | Archive of Formal Proofs |
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| Q99997701 | Artificial Bee Colony Algorithm with Chaotic Catfish Effect and Its Application |
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| Q59105339 | Artificial Bee Colony Algorithm with Time-Varying Strategy |
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| Q57726662 | Assert Use in GitHub Projects |
| Q36273072 | Assocplots: a Python package for static and interactive visualization of multiple-group GWAS results. |
| Q58228222 | Assocplots: a python package for static and interactive visualization of multiple-group GWAS results |
| Q56774843 | Astropy: A community Python package for astronomy |
| Q68946566 | Astroquery: an astronomical web-querying package in Python |
| Q63365568 | AtlasReader: A Python package to generate coordinate tables, region labels, and informative figures from statistical MRI images |
| Q111899963 | AtomNeb Python Package, an addendum to AtomNeb: IDL Library for Atomic Data of Ionized Nebulae |
| Q110512698 | Atomic Data Mining Numerical Methods, Source Code SQlite with Python |
| Q120100150 | Attitudes towards student-centered learning with Jupyter notebooks in econometrics: a semantic analysis |
| Q57263004 | Attribution Required: Stack Overflow Code Snippets in GitHub Projects |
| Q110502061 | Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL |
| Q58450895 | AutoCNet: A Python library for sparse multi-image correspondence identification for planetary data |
| Q110527709 | AutoScanJ: A Suite of ImageJ Scripts for Intelligent Microscopy |
| Q111514869 | Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code |
| Q107399473 | Automated Collections Workflows in GOBI: Using Python to Scrape for Purchase Options |
| Q114253316 | Automated Data Collection with R - A Practical Guide to Web Scraping and Text Mining |
| Q110527909 | Automated Detection and Analysis of Ca2+ Sparks in X-Y Image Stacks using a Novel Algorithm Implemented Within the Open-Source Image Analysis Platform, Imagej |
| Q28364357 | Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins |
| Q28364601 | Automated detection and analysis of Ca(2+) sparks in x-y image stacks using a thresholding algorithm implemented within the open-source image analysis platform ImageJ |
| Q92418572 | Automated image analysis with ImageJ of yeast colony forming units from cannabis flowers |
| Q28364363 | Automated muscle fiber type population analysis with ImageJ of whole rat muscles using rapid myosin heavy chain immunohistochemistry |
| Q110527930 | Automated procedure for coke microstructural characterization in imagej software aiming industrial application |
| Q104570045 | Automated segmentation and analysis of retinal microglia within ImageJ |
| Q85850421 | Automatic GROMACS topology generation and comparisons of force fields for solvation free energy calculations |
| Q111514867 | Automatic Grading Tool for Jupyter Notebooks in Artificial Intelligence Courses |
| Q28364424 | Automatic cell counting with ImageJ |
| Q110527739 | Automatic detection and counting of Callosobruchus maculatus (Fab.) Eggs on Vigna radiata seeds, using ImageJ |
| Q57389697 | Automatic differentiation applied to unsaturated flow - ADOL-C case study |
| Q28364425 | Automatic quantitative analysis of t-tubule organization in cardiac myocytes using ImageJ |
| Q110541611 | Automatic stomata recognition and measurement based on improved YOLO deep learning model and entropy rate superpixel algorithm |
| Q42116643 | Automating Phase Change Lines and Their Labels Using Microsoft Excel(R). |
| Q114945405 | Automating Test Case Identification in Java Open Source Projects on GitHub |
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| Q113304044 | AvoPlot: An extensible scientific plotting tool based on matplotlib |
| Q111333910 | Awkward Arrays in Python, C++, and Numba |
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| Q113324947 | BASiNETEntropy |
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| Q24682492 | BLAT—The BLAST-Like Alignment Tool |
| Q52367429 | BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways. |
| Q97555636 | BYASE: A Python library for estimating gene and isoform level allele-specific expression |
| Q52146086 | Backscatter |
| Q107332190 | Bacting: a next generation, command line version of Bioclipse |
| Q28364604 | Basic image analysis and manipulation in ImageJ |
| Q42332737 | Basic statistics with Microsoft Excel: a review |
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| Q38386368 | BiKEGG: a COBRA toolbox extension for bridging the BiGG and KEGG databases |
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| Q110500050 | Bigdata and Deep Learning: Using Python Keras Predict Patient Diabetes and Employee‟s Wages per Hour |
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| Q111898814 | BioPsyKit: A Python package for the analysis of biopsychological data |
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| Q21129073 | Brian: a simulator for spiking neural networks in python |
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| Q5008880 | CASTEP |
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| Q2718971 | CGAL |
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| Q110510469 | CTCPPre: A prediction method for accepted pull requests in GitHub |
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| Q52646865 | Cameo: A Python Library for Computer Aided Metabolic Engineering and Optimization of Cell Factories. |
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| Q38723492 | Chemicalome and metabolome profiling of polymethoxylated flavonoids in Citri Reticulatae Pericarpium based on an integrated strategy combining background subtraction and modified mass defect filter in a Microsoft Excel Platform. |
| Q34620530 | ChemoPy: freely available python package for computational biology and chemoinformatics. |
| Q91312304 | Chemometrics and Related Fields in Python |
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| Q46368898 | Chromatographic peak resolution using Microsoft Excel Solver. The merit of time shifting input arrays |
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| Q110500275 | Classification of Vegetables using TensorFlow |
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| Q110527927 | Comparison of threshold algorithms for automatic image processing of rice roots using freeware ImageJ |
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| Q50962032 | Computer-aided analysis with Image J for quantitatively assessing psoriatic lesion area. |
| Q28364669 | Computerized three-dimensional reconstruction of human embryos and their organs using the "NIH image" software |
| Q110527806 | Computing Local Thickness of 3D Structures with ImageJ |
| Q36332121 | ConKit: a python interface to contact predictions |
| Q83183968 | Confirmatory factor analysis using Microsoft Excel |
| Q110510477 | Consistent or not? An investigation of using Pull Request Template in GitHub |
| Q51010197 | Constant pressure hybrid Monte Carlo simulations in GROMACS. |
| Q56698659 | Constrained Multibody Dynamics With Python: From Symbolic Equation Generation to Publication |
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| Q111897845 | Constructing UpSet plot for survey data with weights using SAS and R software |
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| Q111823055 | Converting 2D-Medical Image Files “DICOM” into 3D- Models, Based on Image Processing, and Analysing Their Results with Python Programming |
| Q110512023 | Converting Raw Accelerometer Data to Activity Counts Using Open-Source Code: Implementing a MATLAB Code in Python and R, and Comparing the Results to ActiLife |
| Q110500137 | Convolutional neural networks: an illustration in TensorFlow |
| Q1131652 | Coq |
| Q111149917 | Core Imaging Library - Part I: a versatile Python framework for tomographic imaging |
| Q110527811 | Cornell Spectrum Imager: Open Source Spectrum Analysis with ImageJ |
| Q110527905 | Correction to: Photometry and image analysis software ‘ImageJ’ to compare three methods of gingival depigmentation |
| Q93144771 | Correction to: PyPNS: Multiscale Simulation of a Peripheral Nerve in Python |
| Q64910782 | Correction: Ten Simple Rules for Taking Advantage of Git and GitHub. |
| Q60552815 | Correction: powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions |
| Q110500202 | Correlation Analysis between Air Temperature and MODIS Land Surface Temperature and Prediction of Air Temperature Using TensorFlow Long Short-Term Memory for the Period of Occurrence of Cold and Heat Waves |
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| Q55484073 | Corrigendum: ExGUtils: A Python Package for Statistical Analysis With the ex-Gaussian Probability Density. |
| Q110527712 | Corrigendum: Object-Based Analyses in FIJI/ImageJ to Measure Local RNA Translation Sites in Neurites in Response to Aβ1-42 Oligomers |
| Q101118836 | CosinorPy: a python package for cosinor-based rhythmometry |
| Q31018874 | Cover stories: From plot to finish: Visualizing martian atmospheric data from MAVEN in CINEMA 4D with Python |
| Q91751746 | CpGtools: A Python Package for DNA Methylation Analysis |
| Q64987717 | Creating Functional Analysis Graphs Using Microsoft Excel® 2016 for PCs. |
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| Q110527736 | Cutaneous Multispectral Optical tomography With ImageJ |
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| Q110500208 | DIGIT RECOGNITION USING TENSORFLOW TOOL |
| Q89950199 | DISOLV: A Python Package for the Interpretation of Borehole Dilution Tests |
| Q55361965 | DMPy: a Python package for automated mathematical model construction of large-scale metabolic systems. |
| Q97426606 | DNA Features Viewer, a sequence annotation formatting and plotting library for Python |
| Q90947860 | DQB: A novel dynamic quantitive classification model using artificial bee colony algorithm with application on gene expression profiles |
| Q36004805 | DREAMTools: a Python package for scoring collaborative challenges. |
| Q91997213 | DTSGUI: A Python Program to Process and Visualize Fiber-Optic Distributed Temperature Sensing Data |
| Q111933824 | DYCO: A Python package to dynamically detect and compensate for time lags in ecosystem time series |
| Q110527903 | Data Analyses with ImageJ Software in Diabetic Retinopathy, By Processing the Optical Coherence Tomography Images |
| Q110499916 | Data Analysis and Planning Analysis Management System Based on Tensorflow Machine Learning Algorithms |
| Q111898142 | Data Science Toolkit: An all-in-one python library to help researchers and practitioners in implementing data science-related algorithms with less effort |
| Q104437798 | Data Structures for Statistical Computing in Python |
| Q31137885 | Data including GROMACS input files for atomistic molecular dynamics simulations of mixed, asymmetric bilayers including molecular topologies, equilibrated structures, and force field for lipids compatible with OPLS-AA parameters |
| Q30779122 | Data management routines for reproducible research using the G-Node Python Client library. |
| Q32140300 | Data organization for soil metabolism and soil degradation studies with microsoft Excel spreadsheets |
| Q24568332 | Data, information, knowledge and principle: back to metabolism in KEGG |
| Q107394509 | DataLad: distributed system for joint management of code, data, and their relationship |
| Q58027817 | DataPackageR: Reproducible data preprocessing, standardization and sharing using R/Bioconductor for collaborative data analysis |
| Q110500154 | Deep Convolutional Neural Network with TensorFlow and Keras to Classify Skin Cancer Images |
| Q110500019 | Deep Learning Model Design of Video Target Tracking Based on TensorFlow Platform |
| Q110500243 | Deep Learning With TensorFlow: A Review |
| Q110500001 | Deep Learning based Multiple Regression to Predict Total Column Water Vapor (TCWV) from Physical Parameters in West Africa by using Keras Library |
| Q110499880 | Deep Learning model for predicting daily IGS Zenith Tropospheric Delays in West Africa using TensorFlow and Keras |
| Q110499999 | Deep Transfer Learning Pipelines with Apache Spark and Keras TensorFlow combined with Logistic Regression to Detect COVID-19 in Chest CT Images |
| Q110500257 | Deep Variational Auto Encoder for Dimensionality Reduction, Denoising in MNIST Datasets Using TensorFlow and Keras |
| Q91695229 | Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT |
| Q110499930 | Deep learning based Food Recognition using Tensorflow |
| Q115002686 | DeepFakes: uncovering hardcore open source on GitHub |
| Q110527820 | DeepImageJ: A user-friendly environment to run deep learning models in ImageJ |
| Q110949699 | Deepfake video detection: YOLO-Face convolution recurrent approach |
| Q30490138 | Democratic databases: science on GitHub |
| Q115929717 | Democratising Knowledge Representation with BioCypher |
| Q29614993 | DendroPy: a Python library for phylogenetic computing |
| Q101053072 | Density-based clustering of crystal (mis)orientations and the orix Python library |
| Q39829824 | Derivation and clinical application of special imaging by means of digital cameras and Image J freeware for quantification of erythema and pigmentation |
| Q110527784 | Description of condyle trabecular bone density of hypertension patients evaluated from panoramic radiograph using software imageJ |
| Q110500000 | Design and Evaluation of a New Machine Learning Toolbox for Optimal Traffic Light Control with SUMO and Tensorflow |
| Q110499920 | Design and Implementation of a Multi-scale Object Detection Algorithm on TensorFlow |
| Q103823982 | Design of a Scalable and Fast YOLO for Edge-Computing Devices |
| Q45750000 | Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm |
| Q110499913 | Design of traffic light identification scheme based on TensorFlow and HSV color space |
| Q110500277 | Detecting Crows on Sowed Crop Fields using Simplistic Image processing Techniques by Open CV in comparison with TensorFlow Image Detection API |
| Q110500276 | Detecting Malaria from Segmented Cell Images of Thin Blood Smear Dataset using Keras from Tensorflow |
| Q110527897 | Determination of Collimator Helmet Factors for Leksell Gamma Knife 4C Unit Using GAF Chromic EBT3 Film and ImageJ Software |
| Q92462367 | Determination of an inflection point for a dosimetric analysis of unflattened beam using the first principle of derivatives by python code programming |
| Q110527792 | Determination of leaf characteristics in different medlar genotypes using the ImageJ program |
| Q110527888 | Determination of linear dimensions and square surfaces areas of morphological objects on micrographs using ImageJ software |
| Q59304793 | Determination of zinc in rice grains using DTZ staining and ImageJ software |
| Q110527793 | Determining Image Opacity in Broiler Respiratory Radiographic Using ImageJ and Ansel Adam’s Zone System |
| Q118357837 | Developer Project Recommendation Model Based on CNN-LSTM in GitHub |
| Q57726671 | Developer onboarding in GitHub: the role of prior social links and language experience |
| Q123928021 | Developing Crosslingual Ontologies in WissKI: Transcontinental Research Collaboration in the Africa Multiple Cluster of Excellence |
| Q57710095 | Developing Gato and CATBox with Python: Teaching Graph Algorithms through Visualization and Experimentation |
| Q36534626 | Developing a reading concentration monitoring system by applying an artificial bee colony algorithm to e-books in an intelligent classroom |
| Q38473259 | Developing operational algorithms using linear and non-linear squares estimation in Python for the identification of Culex pipiens and Culex restuans in a mosquito abatement district (Cook County, Illinois, USA). |
| Q92486040 | Development of GUI Applications for Groundwater Modeling Using Python |
| Q110500127 | Development of Predictive Emissions Monitoring System Using Open Source Machine Learning Library – Keras: A Case Study on a Cogeneration Unit |
| Q120736771 | Development of Python Programming Teaching Model Using Github |
| Q45136960 | Development of a Microsoft Excel tool for applying a factor retention criterion of a dimension coefficient to a survey on patient safety culture |
| Q30834468 | Development of a Microsoft Excel tool for one-parameter Rasch model of continuous items: an application to a safety attitude survey |
| Q110527717 | Development of a Simple ImageJ-Based Method for Dynamic Blood Flow Tracking in Zebrafish Embryos and Its Application in Drug Toxicity Evaluation |
| Q57729277 | Development of a participatory Green Infrastructure design, visualization and evaluation system in a cloud supported jupyter notebook computing environment |
| Q44164421 | Development of a spreadsheet for SNPs typing using Microsoft EXCEL. |
| Q110527767 | Development of an ImageJ-based method for analysing the developing zebrafish vasculature |
| Q28365499 | Development of computer-assisted sperm analysis plugin for analyzing sperm motion in microfluidic environments using Image-J |
| Q91579317 | Development of image analysis using Python: Relationship between matrix ratio of composite resin and curing temperature |
| Q102052353 | Development of parameters compatible with the CHARMM36 force field for [Fe4S4]2+ clusters and molecular dynamics simulations of adenosine-5'-phosphosulfate reductase in GROMACS 2019 |
| Q111899809 | Devicely: A Python package for reading, timeshifting and writing sensor data |
| Q28364517 | DiAna, an ImageJ tool for object-based 3D co-localization and distance analysis |
| Q110527881 | Diagnostic and Prognostic Correlations of Immunohistochemical Markers in Ameloblastoma. Quantitative Analysis Using Imagej-color Deconvolution method |
| Q64895276 | Diagnostic test accuracy: application and practice using R software. |
| Q110527823 | DicomSort'n'Select und qMapIt, ImageJ-plugins, für eine quantitative multi-parametrische Analyse von DICOM Daten |
| Q28364642 | Difference Tracker: ImageJ plugins for fully automated analysis of multiple axonal transport parameters |
| Q38743889 | Differential analysis of RNA-seq incorporating quantification uncertainty |
| Q24633890 | Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks |
| Q108127199 | Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project |
| Q110527812 | Digital Darkfield Analysis of Lattice Fringe Images with ImageJ |
| Q110527855 | Digital Image Processing and Analysis with ImageJ |
| Q24534 | Digital Library of Mathematical Functions |
| Q96836352 | Digital lensless holographic microscopy: numerical simulation and reconstruction with ImageJ |
| Q28364668 | Digital photography for the light microscope: results with a gated, video-rate CCD camera and NIH-image software |
| Q42737172 | Digitally quantifying cerebral hemorrhage using Photoshop and Image J. |
| Q51593231 | Dimeric spectra analysis in Microsoft Excel: a comparative study. |
| Q99999136 | Discrete Artificial Bee Colony Algorithm Based on Logic Operation |
| Q110527822 | Distributed ImageJ(Fiji): a framework for parallel image processing |
| Q35881866 | Dose-Response Analysis Using R. |
| Q93183178 | Dose-response meta-analysis: application and practice using the R software |
| Q111149470 | Dyconnmap: Dynamic connectome mapping—A neuroimaging python module |
| Q37728921 | Dynamic population artificial bee colony algorithm for multi-objective optimal power flow |
| Q41881705 | EC2KEGG: a command line tool for comparison of metabolic pathways. |
| Q110527785 | EFFICACY ASSESSMENT OF CRYO STORAGE OF DONOR HEARTS BY IMAGEJ BASED IMAGE ANALYSIS |
| Q1274956 | EISPACK |
| Q111900364 | ELDAM: A Python software for Life Cycle Inventory data management |
| Q61798605 | EMBL2checklists: A Python package to facilitate the user-friendly submission of plant and fungal DNA barcoding sequences to ENA |
| Q61906700 | ENASearch: A Python library for interacting with ENA's API |
| Q58149329 | EQcorrscan: Repeating and Near‐Repeating Earthquake Detection and Analysis in Python |
| Q101121158 | ERgene: Python library for screening endogenous reference genes |
| Q51316014 | ESPERE--A Multiple-Method Microsoft Excel Application for Estimating Aquifer Recharge. |
| Q110773390 | EarthCube Data Discovery Studio: A gateway into geoscience data discovery and exploration with Jupyter notebooks |
| Q111933956 | Easyreporting simplifies the implementation of Reproducible Research layers in R software |
| Q58217509 | Ecosystems in GitHub and a Method for Ecosystem Identification Using Reference Coupling |
| Q48559298 | Edentulousness in relation to remodeling of the gonial angles and incisures in dentate and edentate mandibles: morphometric study using the Image J software. |
| Q110527757 | Effect of Visual Cognition on the Measurement of Particle Size Using ImageJ Software |
| Q110499882 | Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area |
| Q28364518 | Efficacy assessment of cryostorants of donor hearts by ImageJ based image analysis |
| Q28364586 | Efficacy of ImageJ in the assessment of apoptosis |
| Q110499935 | Efficient Distributed Image Recognition Algorithm of Deep Learning Framework TensorFlow |
| Q91651309 | Egg desiccation leads to dehydration and enhanced innate immunity in python embryos |
| Q123553126 | Ein Bild aus tausend Zahlen |
| Q45945856 | Embedded Systems and TensorFlow Frameworks as Assistive Technology Solutions. |
| Q105968514 | Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub |
| Q110500039 | Emotion Classification Using a Tensorflow Generative Adversarial Network Implementation |
| Q115146933 | Empowering OCL research: a large-scale corpus of open-source data from GitHub |
| Q116757212 | Empowering the community with notebooks for bespoke microbiome analyses |
| Q34174386 | Enabling grand-canonical Monte Carlo: extending the flexibility of GROMACS through the GromPy python interface module. |
| Q110499921 | English Letter Recognition Based on TensorFlow Deep Learning |
| Q91455869 | Enhanced GROMACS: toward a better numerical simulation framework |
| Q120098094 | Enhancing Learning About Epidemiological Data Analysis Using R for Graduate Students in Medical Fields With Jupyter Notebook: Classroom Action Research |
| Q111933996 | Enhancing Senior Secondary Students’ Performance In Statistical Charts Using Microsoft Excel Spreadsheet Software Package In Rivers State Nigeria |
| Q51739260 | Enhancing artificial bee colony algorithm with self-adaptive searching strategy and artificial immune network operators for global optimization. |
| Q47111098 | Enhancing reproducibility in scientific computing: Metrics and registry for Singularity containers |
| Q59902795 | Enhancing the modified artificial bee colony algorithm with neighborhood search |
| Q111899672 | Enrichment Of Student Learning And Homework Management With Use Of GitHub In An Introductory Cross-Disciplinary Engineering Course Series On Software Engineering And Data Science |
| Q91937709 | Entrezpy: a Python library to dynamically interact with the NCBI Entrez databases |
| Q38377411 | Enzyme Annotation and Metabolic Reconstruction Using KEGG. |
| Q78466925 | Equilibrium expert: an add-in to Microsoft Excel for multiple binding equilibrium simulations and parameter estimations |
| Q42361623 | Erratum to: The JBEI quantitative metabolic modeling library (jQMM): a python library for modeling microbial metabolism |
| Q57542451 | Erratum: Gliß, J.; et al. Pyplis–A Python Software Toolbox for the Analysis of SO2 Camera Images for Emission Rate Retrievals from Point Sources. Geosciences 2017, 7, 134 |
| Q114961860 | Erratum: Investigating and Projecting Population Structures in Open Source Software Projects: A Case Study of Projects in GitHub [IEICE Transactions on Information and Systems Vol.E99.D (2016) , No.5 pp.1304-1315] |
| Q52000208 | Error messages when calculating chi-square statistics with microsoft EXCEL. |
| Q41864689 | Escape Excel: A tool for preventing gene symbol and accession conversion errors. |
| Q110499941 | Establishing the Syntactic Rules of the Kankana-ey Dialect using TensorFlow |
| Q92136860 | Estimating Bacterial Concentrations in Fibrous Substrates Through a Combination of Scanning Electron Microscopy and ImageJ |
| Q77226673 | Estimating microbial population counts by 'most probable number' using Microsoft Excel |
| Q110527751 | Estimation of Hippocampus Volume from MRI Using ImageJ for Alzheimer’s Diagnosis |
| Q110527884 | Estimation of Leaf Area Index of Table Grapes Using a Digital Camera Equipped with Fisheye Lens and the Image Processing Software “Fiji-ImageJ” |
| Q35025649 | Estimation of flood environmental effects using flood zone mapping techniques in Halilrood Kerman, Iran |
| Q46378260 | Estimation of pharmacokinetic parameters from non-compartmental variables using Microsoft Excel |
| Q110527894 | Estimation of root length using image analysis with ImageJ |
| Q62609209 | Evacuation Planning Optimization Based on a Multi-Objective Artificial Bee Colony Algorithm |
| Q110499868 | Evaluating graph resilience with tensor stack networks: a Keras implementation |
| Q28364587 | Evaluating local vegetation cover as a risk factor for malaria transmission: a new analytical approach using ImageJ |
| Q35553866 | Evaluating statistical and clinical significance of intervention effects in single-case experimental designs: an SPSS method to analyze univariate data |
| Q47226631 | Evaluation and comparison of bioinformatic tools for the enrichment analysis of metabolomics data |
| Q60697469 | Evaluation of Formation Constants, Molar Absorptivities of Metal Complexes, and Protonation Constants of Acids by Nonlinear Curve Fitting Using Microsoft Excel Solver and User-Defined Function |
| Q110527889 | Evaluation of ImageJ for Relative Bone Density Measurement and Clinical Application |
| Q110527906 | Evaluation of ImageJ software in ultrasonic image analysis: Follicular and luteal morphological characteristics of cattle |
| Q110527781 | Evaluation of a glucocorticoid-induced osteoporosis model using ImageJ |
| Q120789648 | Evaluation of gene expression programming and artificial neural networks in PyTorch for the prediction of local scour depth around a bridge pier |
| Q51748863 | Evaluation of methods to reduce background using the Python-based ELISA_QC program. |
| Q59433755 | Evaluation of parameter uncertainties in nonlinear regression using Microsoft Excel Spreadsheet |
| Q110527925 | Evaluation of software programs, ImageJ and IQworks, for MTF, NPS and DQE analysis |
| Q110527787 | Evaluation of stallion sperm motility with ImageJ using a cell phone camera and a light microscope |
| Q110527829 | Evaluation of the Performance of ImageJ, Leaf Doctor Applications, and Visual Assessments in Measuring Severity of Two Leaf Spot Diseases |
| Q110528361 | Evolution of technical debt remediation in Python: A case study on the Apache Software Ecosystem |
| Q111933807 | Evolution of the R software ecosystem: Metrics, relationships, and their impact on qualities |
| Q55255587 | ExGUtils: A Python Package for Statistical Analysis With the ex-Gaussian Probability Density. |
| Q44615188 | Excel2Genie: A Microsoft Excel application to improve the flexibility of the Genie-2000 Spectroscopic software |
| Q57066325 | Executable Papers for the R Community: The R2 Platform for Reproducible Research |
| Q111930971 | ExoTiC-ISM: A Python package for marginalised exoplanet transit parameters across a grid of systematic instrument models |
| Q61660380 | Expanding the Orthologous Matrix (OMA) programmatic interfaces: REST API and the OmaDB packages for R and Python |
| Q59859146 | Experiences with Matlab and VRML in Functional Neuroimaging Visualizations |
| Q110500144 | Exploiting the Relationship between Pruning Ratio and Compression Effect for Neural Network Model Based on TensorFlow |
| Q91615918 | Explore, edit and leverage genomic annotations using Python GTF toolkit |
| Q111514897 | Exploring National Library of Scotland datasets with Jupyter Notebooks |
| Q59419372 | Exploring the ecosystem of software developers on GitHub and other platforms |
| Q35021517 | Expyriment: a Python library for cognitive and neuroscientific experiments. |
| Q28364555 | Extended depth from focus reconstruction using NIH ImageJ plugins: quality and resolution of elevation maps |
| Q39787319 | FIRE: an SPSS program for variable selection in multiple linear regression analysis via the relative importance of predictors. |
| Q110527908 | FISHji: New ImageJ macros for the quantification of fluorescence in epifluorescence images |
| Q104618701 | FLIMJ: An open-source ImageJ toolkit for fluorescence lifetime image data analysis |
| Q3737246 | FMRIB Software Library |
| Q118143014 | FORKING DALAM GITHUB, DILEMA DALAM IMPLEMENTASI HAK KEKAYAAN INTELEKTUAL PERANGKAT LUNAK |
| Q36011145 | FRED 2: an immunoinformatics framework for Python. |
| Q29616228 | FSL |
| Q59256252 | FSL: New tools for functional and structural brain image analysis |
| Q62656815 | FabIO: easy access to two-dimensional X-ray detector images in Python |
| Q110502071 | Face Mask And Crowd Detection Using Pytorch and Multi-Task Cascade Convolutional Neural Network |
| Q110502060 | Face mask detection for covid_19 pandemic using pytorch in deep learning |
| Q110500042 | Facebook text posts classification with TensorFlow |
| Q110499903 | Facial Expression Recognition Based on TensorFlow Platform |
| Q110499867 | Facial emotion detection using modified eyemap–mouthmap algorithm on an enhanced image and classification with tensorflow |
| Q111899299 | Factor Analysis as a tool for Pattern Recognition in biomedical research; a review with application in R software |
| Q100406835 | FalseColor-Python: A rapid intensity-leveling and digital-staining package for fluorescence-based slide-free digital pathology |
| Q27333056 | Fast live-cell conventional fluorophore nanoscopy with ImageJ through super-resolution radial fluctuations |
| Q110527813 | Fast periodicity-analysis with “4spots” and ImageJ |
| Q33378821 | Feature selection environment for genomic applications. |
| Q120097959 | Federating Medical Deep Learning Models from Private Jupyter Notebooks to Distributed Institutions |
| Q64182303 | Final Report of the Project Gnome Plowshare Program (NAID 7906747) |
| Q113315559 | Find potential partners: A GitHub user recommendation method based on event data |
| Q110502065 | Fireworks: Reproducible Machine Learning and Preprocessing with PyTorch |
| Q111898090 | FitBenchmarking: an open source Python package comparing data fitting software |
| Q113204459 | Five Guiding Principles to Make Jupyter Notebooks Fit for Earth Observation Data Education |
| Q110499955 | FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks |
| Q110500260 | Flappy Bird Automation using TensorFlow |
| Q58761557 | Fleshing Out the Bones: Studying the Human Remains Trade with Tensorflow and Inception |
| Q110499878 | FlowPM: Distributed TensorFlow implementation of the FastPM cosmological N-body solver |
| Q110527882 | Fluorescent Nuclei Measurements Macro (FNMM), a tool for automated cell quantification in ImageJ |
| Q55108201 | FluxPyt: a Python-based free and open-source software for 13C-metabolic flux analyses. |
| Q110500246 | Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX |
| Q47096134 | ForceGen: atomic covalent bond value derivation for Gromacs |
| Q99468211 | Forward Kinematics Solution for Parallel Manipulators Based on Improved Artificial Bee Colony Algorithm |
| Q120789805 | Fractional Gradient Optimizers for PyTorch: Enhancing GAN and BERT |
| Q35136623 | FragBuilder: an efficient Python library to setup quantum chemistry calculations on peptides models. |
| Q44832143 | Free energy calculations for molecular solids using GROMACS. |
| Q5499643 | FreeFem++ |
| Q1186761 | FreeRTOS |
| Q104583930 | FreeSurfer-based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts |
| Q91839747 | From GROMACS to LAMMPS: GRO2LAM : A converter for molecular dynamics software |
| Q24538628 | From genomics to chemical genomics: new developments in KEGG |
| Q24615828 | Functional analysis of metagenomes and metatranscriptomes using SEED and KEGG |
| Q105545530 | Functional data analysis with R and Matlab |
| Q28364769 | Fundamental of medical image processing with personal computer system--Image processing of computed tomography with imageJ |
| Q28364655 | Fundamental of medical image processing with personal computer system--development of Plugins by ImageJ |
| Q82282702 | Fundamental of medical image processing with personal computer system--image J is used. Chapter of DR image |
| Q92902859 | Furthering Open Science in Behavior Analysis: An Introduction and Tutorial for Using GitHub in Research |
| Q110499898 | Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities |
| Q114070942 | Fusing industry and academia at GitHub (experience report) |
| Q59131774 | Fuzzy Multilevel Image Thresholding Based on Modified Quick Artificial Bee Colony Algorithm and Local Information Aggregation |
| Q59071173 | Fuzzy Multiobjective Optimal Power Flow Based on Modified Artificial Bee Colony Algorithm |
| Q111898451 | GARPTools: R software for data preparation and model evaluation of GARP models |
| Q111900731 | GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data |
| Q124246884 | GES algorithm |
| Q58219897 | GHTorrent: Github's data from a firehose |
| Q57953590 | GMXPBSA 2.0: A GROMACS tool to perform MM/PBSA and computational alanine scanning |
| Q57953588 | GMXPBSA 2.1: A GROMACS tool to perform MM/PBSA and computational alanine scanning |
| Q5204274 | GNU Dap |
| Q56395536 | GOATOOLS: A Python library for Gene Ontology analyses |
| Q33479340 | GOGrapher: A Python library for GO graph representation and analysis |
| Q96835410 | GPU-Accelerated Semi-Empirical Born Oppenheimer Molecular Dynamics using PyTorch |
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| Q57082068 | GROMACS 3.0: a package for molecular simulation and trajectory analysis |
| Q29615867 | GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit |
| Q27860944 | GROMACS 4: Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation |
| Q34124849 | GROMACS molecule & liquid database |
| Q51756282 | GROMACS: A message-passing parallel molecular dynamics implementation |
| Q104439794 | GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers |
| Q27860998 | GROMACS: fast, flexible, and free |
| Q90592825 | GROmaρs: A GROMACS-Based Toolset to Analyze Density Maps Derived from Molecular Dynamics Simulations |
| Q33293710 | GUIMACS - a Java based front end for GROMACS. |
| Q100945148 | GWideCodeML: A Python Package for Testing Evolutionary Hypotheses at the Genome-Wide Level |
| Q59752134 | Gala: A Python package for galactic dynamics |
| Q110499914 | Gamma/Hadron Separation in Imaging Air Cherenkov Telescopes Using Deep Learning Libraries TensorFlow and PyTorch |
| Q90947482 | GenGraph: a python module for the simple generation and manipulation of genome graphs |
| Q57726675 | Gender and Tenure Diversity in GitHub Teams |
| Q26699971 | Gene name errors are widespread in the scientific literature |
| Q34073365 | Gene ontology and KEGG enrichment analyses of genes related to age-related macular degeneration |
| Q58345955 | General Equilibrium Analysis Using Microsoft Excel |
| Q61797145 | Generalized Parking Occupancy Analysis Based on Dilated Convolutional Neural Network |
| Q107399316 | Generating Geographic Terms for Streaming Videos Using Python: A Comparative Analysis |
| Q105337072 | Generating conjectures on fundamental constants with the Ramanujan Machine |
| Q34791285 | Generating variable and random schedules of reinforcement using Microsoft Excel macros |
| Q59212175 | Generation of Embedded Hardware/Software from SystemC |
| Q113212203 | Generic Mapping Tools and Matplotlib Package of Python for Geospatial Data Analysis in Marine Geology |
| Q31027612 | GenomeDiagram: a python package for the visualization of large-scale genomic data. |
| P12695 | Gentoo Wiki article ID |
| Q110527816 | Gesture-Based Control of ImageJ Using Leap Sensors |
| Q113501371 | Getting Started With Raspberry Pi |
| Q57389609 | Getting Started with ADOL-C |
| Q36413418 | GfaPy: a flexible and extensible software library for handling sequence graphs in Python. |
| Q36409912 | GillesPy: A Python Package for Stochastic Model Building and Simulation |
| Q57681130 | Git and GitHub for Librarians |
| Q364 | GitHub |
| Q45767371 | GitHub |
| Q60949625 | GitHub Statistics as a Measure of the Impact of Open-Source Bioinformatics Software |
| Q120926965 | GitHub repositories with links to academic papers: Public access, traceability, and evolution |
| Q114916100 | GitHub und Open Source Software |
| Q110528175 | GitHub, Technical Debt, Code Formatting, and More |
| Q59603591 | GitHub: exploring the space between boss-less and hierarchical forms of organizing |
| Q112274816 | GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling |
| Q50739659 | Global optimization of clusters of rigid molecules using the artificial bee colony algorithm. |
| Q53296465 | Glycomic analysis using KEGG GLYCAN. |
| Q110499946 | Gradient Population Optimization: A Tensorflow-Based Heterogeneous Non-Von-Neumann Paradigm for Large-Scale Search |
| Q110500133 | Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes] |
| Q110499900 | Graph neural networks in TensorFlow-Keras with RaggedTensor representation (kgcnn) |
| Q35158487 | Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages |
| Q56449224 | Graphics with ggplot2 |
| Q108603954 | Gravity in Online Collaborations: Evidence from GitHub |
| Q107904130 | GridTest: testing and metrics collection for Python |
| Q51080024 | Gro2mat: a package to efficiently read gromacs output in MATLAB. |
| Q33597646 | Gromita: a fully integrated graphical user interface to gromacs 4 |
| Q49372655 | Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Representation. |
| Q34917369 | HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python |
| Q110527718 | HF_IDS_Cam: Fast Video Capture with ImageJ for Real-Time Analysis |
| Q58008902 | HIGH-LEVEL PARALLEL SOFTWARE DEVELOPMENT WITH PYTHON AND BSP |
| Q110500007 | HIJACKED: Estimation of Body Fat Percentage Using Neural Networks, Tensorflow and Opencv |
| Q51730384 | HRTEMFringeAnalyzer a free python module for an automated analysis of fringe pattern in transmission electron micrographs. |
| Q28364347 | HaloJ: an ImageJ program for semiautomatic quantification of DNA damage at single-cell level |
| Q57943288 | Hamiltonian replica exchange in GROMACS: a flexible implementation |
| Q52023691 | Handling of computational in vitro/in vivo correlation problems by Microsoft Excel II. Distribution functions and moments. |
| Q51642102 | Handling of computational in vitro/in vivo correlation problems by Microsoft Excel: I. Principles and some general algorithms. |
| Q47401422 | Handling of computational in vitro/in vivo correlation problems by Microsoft Excel: III. Convolution and deconvolution |
| Q51983445 | Handling of computational in vitro/in vivo correlation problems by Microsoft Excel: IV. Generalized matrix analysis of linear compartment systems. |
| Q40233578 | Handling of computational in vitro/in vivo correlation problems by Microsoft Excel: V. Predictive absorbability models |
| Q110500090 | Handwritten Gurmukhi Digit Prediction using Convolutional Neural Network with Keras and Tensorflow |
| Q110500177 | Handwritten Text Recognition using Deep Learning with TensorFlow |
| Q28661038 | Hardware-accelerated interactive data visualization for neuroscience in Python |
| Q34010 | Haskell |
| Q100727714 | Haskell Programming from first principles |
| Q113501372 | Hello Raspberry Pi! - Python Programming For Kids And Other Beginners |
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| Q909442 | Kyoto Encyclopedia of Genes and Genomes |
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| Q110502063 | LSTM Deep Learning Stock Prediction System Based on PyTorch Framework |
| Q113504767 | La Collection Islam Burkina Faso : promesses et défis des humanités numériques |
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| Q114917734 | Landscaping the R&D Trend of Artificial Intelligence with Open Source Project Data in Github |
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| Q110500147 | License Plate Detection and Facial Analysis Using TensorFlow Deep Learning Algorithm |
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| Q110502043 | MobileStyleGAN.pytorch: PyTorch-based toolkit to compress StyleGAN2 model |
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| Q34560554 | Modeling design iteration in product design and development and its solution by a novel artificial bee colony algorithm. |
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| Q110502059 | Monte Carlo Collision method for Particle-In-Cell plasma simulation: PyTorch implementation |
| Q110500253 | Monte Carlo Option Pricing in Tensorflow |
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| Q87877986 | Multicriteria decision making in health care using the analytic hierarchy process and Microsoft Excel |
| Q110773392 | Multimedia Jupyter Notebooks for Learning Structure Prediction and Design |
| Q58999358 | Multiobjective Stochastic Programming for Mixed Integer Vendor Selection Problem Using Artificial Bee Colony Algorithm |
| Q58916029 | Multiple Input Delays Estimation Using an Artificial Bee Colony Algorithm |
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| Q110527834 | Multithreaded two-pass connected components labelling and particle analysis in ImageJ |
| Q34568580 | Mushu, a free- and open source BCI signal acquisition, written in Python |
| Q92072483 | MyelinJ: an ImageJ macro for high throughput analysis of myelinating cultures |
| Q90038796 | Myosoft: An automated muscle histology analysis tool using machine learning algorithm utilizing FIJI/ImageJ software |
| Q33406510 | NEURON and Python |
| Q69053901 | NIFTY - Numerical Information Field Theory. A versatile PYTHON library for signal inference |
| Q23319322 | NIH Image to ImageJ: 25 years of image analysis |
| Q28364530 | NIH ImageJ and Slice-O-Matic computed tomography imaging software to quantify soft tissue |
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| Q66680339 | NanoDJ: a Dockerized Jupyter notebook for interactive Oxford Nanopore MinION sequence manipulation and genome assembly |
| Q28193986 | Natural Language Processing with Python |
| Q110527846 | Near Infrared Hyperspectral Image Analysis Using R. Part 5: Animated Visualisation of Hyperspectral Data Using R and ImageJ |
| Q58493704 | Near-Infrared Neuroimaging with NinPy |
| Q24653334 | NemaPath: online exploration of KEGG-based metabolic pathways for nematodes |
| Q112129645 | Network Analysis of Open-Source Software Python Packages on GitHub |
| Q93183142 | Network meta-analysis: application and practice using R software |
| Q7000696 | NetworkX |
| Q57988172 | NeuralEnsemble.Org: Unifying neural simulators in Python to ease the model complexity bottleneck |
| Q28365010 | Neurite-J: an image-J plug-in for axonal growth analysis in organotypic cultures |
| Q96302316 | NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines |
| Q30841961 | Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework |
| Q110527858 | New Extensibility and Scripting Tools in the ImageJ Ecosystem |
| Q38445862 | New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins |
| Q51692689 | New improvements in automatic structure elucidation using the LSD (Logic for Structure Determination) and the SISTEMAT expert systems. |
| Q110527722 | New technique to blur the iris pattern for protection of personal information using the public domain software, ImageJ |
| Q28364485 | New technique to count mosquito adults: using ImageJ software to estimate number of mosquito adults in a trap |
| Q111900421 | Ngesh: a Python library for synthetic phylogenetic data |
| Q95828192 | Nice vital statistics SPSS/PC + and SPSS for Windows: A Beginner's Guide to Data Analysis, 2nd edition. Foster JJ et al 1993 Price: Supplier: Computer Manuals , Birmingham. £14.95 021-706-6000 |
| Q30406810 | Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python |
| Q34605893 | Nmrglue: an open source Python package for the analysis of multidimensional NMR data |
| Q52344632 | Non-linear curve fitting using Microsoft Excel solver. |
| Q59297778 | Nondestructive identification of multiple flaws using XFEM and a topologically adapting artificial bee colony algorithm |
| Q59720605 | Nostril: A nonsense string evaluator written in Python |
| Q60022676 | Note: Free energy calculations for atomic solids through the Einstein crystal/molecule methodology using GROMACS and LAMMPS |
| Q36237120 | Note: Tormenta: An open source Python-powered control software for camera based optical microscopy |
| Q99250970 | Novel insights into wound age estimation: combined with "up, no change, or down" system and cosine similarity in python environment |
| Q22907407 | NuPRL |
| Q197520 | NumPy |
| Q58192714 | Numerical Ecology with R |
| Q58192857 | Numerical Ecology with R (Second Edition) |
| Q58008940 | Numerical Python |
| Q58916614 | Numerical Solution and Simulation of Second-Order Parabolic PDEs with Sinc-Galerkin Method Using Maple |
| Q106396960 | Numerical modeling of ground-penetrating radar in 2-D using MATLAB |
| Q28364364 | Numerical wave propagation in ImageJ |
| Q50637366 | Numerics made easy: solving the Navier-Stokes equation for arbitrary channel cross-sections using Microsoft Excel. |
| Q110527733 | O uso do software Imagej na estimativa de substrato exposto pós controle de gramíneas invasoras |
| Q84424343 | OBGMX: a web-based generator of GROMACS topologies for molecular and periodic systems using the universal force field |
| Q27319819 | ODTbrain: a Python library for full-view, dense diffraction tomography |
| Q30484060 | OMPC: an Open-Source MATLAB-to-Python Compiler |
| Q42687218 | ORBKIT: A modular python toolbox for cross-platform postprocessing of quantum chemical wavefunction data |
| Q57688597 | OSIRIS and SPSS: New Computer Packages for the Analysis of Social Science Data |
| Q100537910 | OTSun, a python package for the optical analysis of solar-thermal collectors and photovoltaic cells with arbitrary geometry |
| Q110500159 | Object Recognition Using Keras with Backend Tensor Flow |
| Q96684849 | Object-Based Analyses in FIJI/ImageJ to Measure Local RNA Translation Sites in Neurites in Response to Aβ1-42 Oligomers |
| Q30658812 | Object-oriented parsing of biological databases with Python |
| Q104168405 | Obtaining and processing Daymet data using Python and ArcGIS |
| Q110527931 | Off-axis digital holography simulation in ImageJ |
| Q96948565 | Ogre: A Python package for molecular crystal surface generation with applications to surface energy and crystal habit prediction |
| Q51588191 | On easy implementation of a variant of the replica exchange with solute tempering in GROMACS. |
| Q110510418 | On the Nature of Merge Conflicts: A Study of 2,731 Open Source Java Projects Hosted by GitHub |
| Q56057563 | On the accuracy of statistical procedures in Microsoft Excel 2000 and Excel XP |
| Q56048965 | On the accuracy of statistical procedures in Microsoft Excel 2003 |
| Q56057564 | On the accuracy of statistical procedures in Microsoft Excel 2007 |
| Q56081914 | On the accuracy of statistical procedures in Microsoft Excel 2010 |
| Q110652127 | On the analysis of non-coding roles in open source development |
| Q110510426 | On the relation between Github communication activity and merge conflicts |
| Q28364541 | On the use of NIH image J for objective assessment of conjunctival cell and nucleus dimensions of impression cytology samples |
| Q728415 | On-Line Encyclopedia of Integer Sequences |
| Q33960660 | One-dimensional statistical parametric mapping in Python. |
| Q110773396 | Online Data Generation in Quantitative Analysis: Excel Spreadsheets and an Online HPLC Simulator Using a Jupyter Notebook on the Chem Compute Web site |
| Q119957716 | Open Source License Inconsistencies on GitHub |
| Q58217515 | Open Source-Style Collaborative Development Practices in Commercial Projects Using GitHub |
| Q114960889 | Open-Source Trading Zones and Boundary Objects: Examining GitHub as a Space for Collaborating on “News” |
| Q27324176 | Open-source image reconstruction of super-resolution structured illumination microscopy data in ImageJ |
| Q90719342 | Open-source python module for automated preprocessing of near infrared spectroscopic data |
| Q111901002 | OpenCADD-KLIFS: A Python package to fetch kinase data from the KLIFS database |
| Q60667684 | OpenCL Accelerated Connectome Analysis in Python |
| Q1258268 | OpenCourseWare |
| Q111149904 | OpenTree: A Python Package for Accessing and Analyzing Data from the Open Tree of Life |
| Q111900255 | Opfi: A Python package for identifying gene clusters in large genomics and metagenomics data sets |
| Q110527764 | Optical Coherence Tomography and ImageJ Software for objective assessment of optical density of anterior chamber iris cyst |
| Q110502057 | Optical-imaging detection of apple sugar content based on OpenCv and Pytorch |
| Q99303435 | Optimal Conditions for Manufacture of Refuse Derived Fuel(RDF) from Carbon Black of Wood Chips by SPSS Statistic Analysis Software |
| Q110499925 | Optimal Technique of Tumor Detection and Prediction of Livestock by Deep Neural Network with TensorFlow and Keras |
| Q110499873 | Optimal distributed parallel algorithms for deep learning framework Tensorflow |
| Q110500234 | Optimasi Hyperparameter TensorFlow dengan Menggunakan Optuna di Python: Study Kasus Klasifikasi Dokumen Abstrak Skripsi |
| Q62637564 | Optimisation of Multiple Hydropower Reservoir Operation Using Artificial Bee Colony Algorithm |
| Q48499519 | Optimising the measurement of bruises in children across conventional and cross polarized images using segmentation analysis techniques in Image J, Photoshop and circle diameter measurements. |
| Q51038536 | Optimising the production of succinate and lactate in Escherichia coli using a hybrid of artificial bee colony algorithm and minimisation of metabolic adjustment. |
| Q66999825 | Optimization Design of Multi-Pump Raman Fiber Amplifiers Based on Artificial Bee Colony Algorithm |
| Q63990034 | Optimization of Spot-Welded Joints Combined Artificial Bee Colony Algorithm with Sequential Kriging Optimization |
| Q39763452 | Optimization of parameters for molecular dynamics simulation using smooth particle-mesh Ewald in GROMACS 4.5. |
| Q110527844 | Optimization of the Method for Determining the Motility Characteristics of Fish spermatozoa Using ImageJ Software and Excel Macros |
| Q28247888 | Optimized digital counting colonies of clonogenic assays using ImageJ software and customized macros: comparison with manual counting |
| Q110499978 | Optimizing TensorFlow Performance by Reconstructing the Convolution Routine |
| Q53553265 | Orange: data mining toolbox in Python |
| Q28658171 | OutbreakTools: a new platform for disease outbreak analysis using the R software |
| Q110527719 | Overlap Intensity: An ImageJ Macro for Analyzing the HIV-1 In Situ Uncoating Assay |
| Q110500259 | Overview on Open Source Machine Learning Platforms-TensorFlow |
| Q38371991 | Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies |
| Q42659634 | P.R.E.S.S.--an R-package for exploring residual-level protein structural statistics |
| Q110527862 | P33.10: ImageJ system: a novel technique to identify cervical lesions |
| Q55382977 | PA01.34. Catagorical interpretation in Microsoft excel of jangam dravya database from Bruhat-Trayi & Laghu-Trayi. |
| Q118680287 | PAReTT: A Python Package for the Automated Retrieval and Management of Divergence Time Data from the TimeTree Resource for Downstream Analyses |
| Q105485459 | PBjam: A Python Package for Automating Asteroseismology of Solar-like Oscillators |
| Q33381990 | PConPy--a Python module for generating 2D protein maps |
| Q33195213 | PDB file parser and structure class implemented in Python |
| Q92082565 | PDEparams: parameter fitting toolbox for partial differential equations in python |
| Q108172042 | PDFFigures 2.0: Mining figures from research papers |
| Q47302197 | PEITH(Θ) - Perfecting Experiments with Information Theory in Python with GPU support |
| Q110500011 | PEMANFAATAN METODE WAVELET PADA ROBOT SEPAKBOLA BERBASIS MACHINE LEARNING GOOGLE TENSORFLOW |
| Q106934530 | PETRO.CALC.PLOT, Microsoft Excel macros to aid petrologic interpretation |
| Q24654617 | PHENIX: a comprehensive Python-based system for macromolecular structure solution |
| Q33533523 | PKSolver: An add-in program for pharmacokinetic and pharmacodynamic data analysis in Microsoft Excel |
| Q35322527 | PLACE: an open-source python package for laboratory automation, control, and experimentation |
| Q62692534 | PO-0923: Deformable registration using python scripting for adaptive RT automation |
| Q47587853 | POLYMAT-C: a comprehensive SPSS program for computing the polychoric correlation matrix. |
| Q109299515 | PRACTICAL APPROACH FOR HYPERSPECTRAL IMAGE PROCESSING IN PYTHON |
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| Q33252516 | PYCHEM: a multivariate analysis package for python |
| Q120789752 | PYLON: A PyTorch Framework for Learning with Constraints |
| Q63407249 | PaDuA: A Python Library for High-Throughput (Phospho)proteomics Data Analysis |
| Q110527900 | Package ImageJ. Application for image processing obtained scanning electronic microscopy (paper analysis) |
| Q31160128 | ParFit: A Python-Based Object-Oriented Program for Fitting Molecular Mechanics Parameters to ab Initio Data |
| Q59013078 | Parametric Optimization of Nd:YAG Laser Beam Machining Process Using Artificial Bee Colony Algorithm |
| Q113269882 | Parselmouth for bioacoustics: Integrating Praat into the Python scientific ecosystem |
| Q110527790 | Particle Size and Shape Analysis using Imagej with Customized Tools for Segmentation of Particles |
| Q59141341 | Particle Swarm and Bacterial Foraging Inspired Hybrid Artificial Bee Colony Algorithm for Numerical Function Optimization |
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| Q24803576 | PathwayVoyager: pathway mapping using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database |
| Q47404953 | Pattern for Python |
| Q111896858 | Pelatihan Pengolahan Data Penelitian Berbasis Software JASP dan SPSS bagi Mahasiswa FKIP Universitas Mulawarman Kalimantan Timur |
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| Q110500213 | Pendeteksi Golongan Darah Manusia Berbasis Tensorflow menggunakan ESP32-CAM |
| Q30431188 | PeptideBuilder: A simple Python library to generate model peptides |
| Q110527902 | Perbedaan Densitas Tulang Alveolar Sebelum dan Sesudah Kuretase Menggunakan Software ImageJ Pada Periodontitis Kronis |
| Q110527901 | Perbedaan Panjang Lamina Dura Abses Periapikal Perawatan Endodontik Menggunakan Software ImageJ Di RSIGM UMI |
| Q110500022 | Performance Analysis of Deep Learning Libraries: TensorFlow and PyTorch |
| Q120789820 | Performance Comparison between Pytorch and Mindspore |
| Q110499980 | Performance Evaluation of Price-based Input Features in Stock Price Prediction using Tensorflow |
| Q63466688 | Performance Evaluation of Two Software for Analysis Through ROC Curves: Comp2ROC vs SPSS |
| Q110500047 | Performance analysis of the TensorFlow library with different optimisation algorithms |
| Q83790642 | Performance enhancements for GROMACS nonbonded interactions on BlueGene |
| Q58503064 | Performing Collection Use Studies with Microsoft Excel 2007 |
| Q49179884 | Periorbital Biometric Measurements using ImageJ Software: Standardisation of Technique and Assessment Of Intra- and Interobserver Variability. |
| Q113315604 | Personalizing label prediction for GitHub issues |
| Q110499911 | Phase prediction and new parametric approach for multi-component alloys with using deep learning API: Keras |
| Q61468005 | PhasePApy: A Robust Pure Python Package for Automatic Identification of Seismic Phases |
| Q110527864 | Photometry and image analysis software ‘ImageJ’ to compare three methods of gingival depigmentation |
| Q108127351 | PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity |
| Q110502041 | Physics-informed neural network method for solving one-dimensional advection equation using PyTorch |
| Q43215636 | Physiologically based pharmacokinetic modeling using microsoft excel and visual basic for applications |
| Q92625630 | PiNN: A Python Library for Building Atomic Neural Networks of Molecules and Materials |
| Q94583694 | PiTMaP: A new analytical platform for high-throughput direct metabolome analysis by probe electrospray ionization/tandem mass spectrometry using an R software-based data pipeline |
| Q113227935 | Pingouin: statistics in Python |
| Q60701205 | Pisces: A Practical Seismological Database Library in Python |
| Q17146476 | Plotly |
| Q104907699 | PmagPy Online: Jupyter Notebooks, the PmagPy Software Package and the Magnetics Information Consortium (MagIC) Database |
| Q104907703 | PmagPy Online: Jupyter Notebooks, the PmagPy Software Package and the Magnetics Information Consortium (MagIC) Database |
| Q120789685 | PocketFinderGNN: A manufacturing feature recognition software based on Graph Neural Networks (GNNs) using PyTorch Geometric and NetworkX |
| Q105527937 | PolarBRDF: A general purpose Python package for visualization and quantitative analysis of multi-angular remote sensing measurements |
| Q59118225 | Polygonal Approximation Using an Artificial Bee Colony Algorithm |
| Q34545709 | Pool-hmm: a Python program for estimating the allele frequency spectrum and detecting selective sweeps from next generation sequencing of pooled samples |
| Q4047262 | Portable, Extensible Toolkit for Scientific Computation |
| Q110500280 | Portfolio Builder and Career Recommender by Scraping Data Using Flask and Tensorflow |
| Q110500079 | Possibilities of using the packet TensorFlow neural network design library for the kine-matic study of a manipulator |
| Q110527875 | Postural assessment of arbitrarily taken portrait and profile photographs using ImageJ |
| Q110527863 | Potential of the ImageJ software in the differentiation of various types of canine lymphadenopathies with fine needle aspiration cytology (FNAC) |
| Q120635843 | Power from wind: Open data on AWS |
| Q37530421 | Powerlaw: a Python package for analysis of heavy-tailed distributions. |
| Q47116302 | Practical Machine Learning with Python |
| Q57990350 | Practitioner advice: Approximation of the cumulative density of left-sided truncated normal distribution using logistic function and its implementation in Microsoft Excel |
| Q110499924 | Predicting Potato Diseases Using Tensorflow in Mobile Apps Android |
| Q110500003 | Predicting Stock Price in Python Using Tensor Flow and Keras |
| Q110499985 | Predicting Students' Academic Performance in Educational Data Mining Based on Deep Learning Using TensorFlow |
| Q110510467 | Predicting accepted pull requests in GitHub |
| Q113315875 | Predicting long-time contributors for GitHub projects using machine learning |
| Q110499987 | Prediction Algorithm for Optimal Ranking of Search Keyword by TensorFlow |
| Q41616259 | Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways. |
| Q37127244 | Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG. |
| Q112680746 | Prediction of Hearing Prognosis of Large Vestibular Aqueduct Syndrome Based on the PyTorch Deep Learning Model |
| Q37191078 | Prediction of effective drug combinations by chemical interaction, protein interaction and target enrichment of KEGG pathways |
| Q37338200 | Prediction of gene phenotypes based on GO and KEGG pathway enrichment scores |
| Q111933023 | Preliminary prioritization based on partial order theory and R software for compositional complexes in landscape ecology, with applications to restoration, remediation, and enhancement |
| Q31081251 | Preparing data for analysis using microsoft Excel |
| Q114920314 | Presence of Location-Based Agglomeration Effects in Open Source Communities: An Empirical Test on GitHub |
| Q52412057 | Principal component regression analysis with SPSS. |
| Q111096949 | Principles of securing RESTful API web services developed with python frameworks |
| Q30381295 | ProDaMa: an open source Python library to generate protein structure datasets |
| Q110499904 | Producing Madgraph5_aMC@NLO gridpacks and using TensorFlow GPU resources in the CMS HTCondor Global Pool |
| Q43570363 | Product of the month: SPSS statistical package for the sciences |
| Q57831131 | Prof. CI: Employing continuous integration services and Github workflows to teach test-driven development |
| Q57884055 | Programming Development of Kolmogorov-Smirnov Goodness-of-Fit Testing of Data Normality as a Microsoft Excel® Library Function |
| Q34132077 | Programming an offline-analyzer of motor imagery signals via python language |
| Q34328597 | Programming biological models in Python using PySB |
| Q35555480 | Programming: Pick up Python |
| Q69559999 | Programs for radioimmunoassays and radioreceptorassays using SPSS-X |
| Q110499896 | Project repositories for machine learning with TensorFlow |
| Q28364349 | Proliferation Index Evaluation in Breast Cancer Using ImageJ and ImmunoRatio Applications |
| Q90048264 | Propensity Score Analysis in Non-Randomized Experimental Designs: An Overview and a Tutorial Using R Software |
| Q36011069 | ProtPOS: a python package for the prediction of protein preferred orientation on a surface |
| Q57687838 | Prototyping of a remote monitoring system for a medical Personal Area Network using Python |
| Q36246564 | Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods |
| Q93846254 | Psi4NumPy: An Interactive Quantum Chemistry Programming Environment for Reference Implementations and Rapid Development |
| Q53818688 | Psi4NumPy: An Interactive Quantum Chemistry Programming Environment for Reference Implementations and Rapid Development. |
| Q104486207 | PsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive Tasks |
| Q24684122 | PsychoPy--Psychophysics software in Python |
| Q35631772 | Pteros 2.0: Evolution of the fast parallel molecular analysis library for C++ and python |
| Q114047963 | Publishing the Islam Burkina Faso Collection: Collaboration for Digital Scholarship |
| Q68969811 | Pwv_kpno: a Python package for modeling the atmospheric transmission function due to precipitable water vapor |
| Q51556612 | PyBioMed: a python library for various molecular representations of chemicals, proteins and DNAs and their interactions. |
| Q113227575 | PyBioPAX: biological pathway exchange in Python |
| Q36178401 | PyBoolNet: a python package for the generation, analysis and visualization of boolean networks |
| Q96122866 | PyCDFT: A Python package for constrained density functional theory |
| Q58155494 | PyCOMPSs: Parallel computational workflows in Python |
| Q64106005 | PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources |
| Q50014788 | PyChimera: Use UCSF Chimera modules in any Python 2.7 project. |
| Q34991920 | PyDPI: freely available python package for chemoinformatics, bioinformatics, and chemogenomics studies |
| Q42696235 | PyDREAM: High-dimensional parameter inference for biological models in Python |
| Q99733844 | PyDiophantus maze game: Play it to learn mathematics or implement it to learn game programming in Python |
| Q33879551 | PyEEG: an open source Python module for EEG/MEG feature extraction |
| Q111936326 | PyEI: A Python package for ecological inference |
| Q62656818 | PyFAI: a Python library for high performance azimuthal integration on GPU |
| Q111897991 | PyFstat: a Python package for continuous gravitational-wave data analysis |
| Q111514865 | PyGEE-SWToolbox: A Python Jupyter Notebook Toolbox for Interactive Surface Water Mapping and Analysis Using Google Earth Engine |
| Q59890440 | PyGeoPressure: Geopressure Prediction in Python |
| Q109583780 | PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings |
| Q111899682 | PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants using GDAL/OGR library in Python |
| Q110502053 | PyLightcurve-torch: a transit modeling package for deep learning applications in PyTorch |
| Q61654760 | PyLogFinder: A Python Program for Graphical Geophysical Log Selection |
| Q33908314 | PyMC: Bayesian Stochastic Modelling in Python |
| Q89665908 | PyMDA: microcrystal data assembly using Python |
| Q46008353 | PyMICE - a Python™ library for analysis of mice behaviour. |
| Q36413032 | PyMICE: APython library for analysis of IntelliCage data |
| Q30856938 | PyMOOSE: Interoperable Scripting in Python for MOOSE. |
| Q52562681 | PyMUS: Python-Based Simulation Software for Virtual Experiments on Motor Unit System. |
| Q30493194 | PyMix--the python mixture package--a tool for clustering of heterogeneous biological data |
| Q111899153 | PyMoDAQ: An open-source Python-based software for modular data acquisition |
| Q68994620 | PyMorph: automated galaxy structural parameter estimation using PYTHON |
| Q46548479 | PyNN: towards a universal neural simulator API in Python |
| Q89287478 | PyPNS: Multiscale Simulation of a Peripheral Nerve in Python |
| Q36073577 | PyPanda: a Python package for gene regulatory network reconstruction |
| Q92920955 | PyParadigm-A Python Library to Build Screens in a Declarative Way |
| Q52325200 | PyPathway: Python Package for Biological Network Analysis and Visualization. |
| Q27218818 | PyPedia: using the wiki paradigm as crowd sourcing environment for bioinformatics protocols |
| Q110773382 | PyQSAR: A Fast QSAR Modeling Platform Using Machine Learning and Jupyter Notebook |
| Q101116172 | PyQt5 - Développez vos interfaces graphiques en Python |
| Q60557597 | PyRDM: A Python-based Library for Automating the Management and Online Publication of Scientific Software and Data |
| Q48336847 | PyRETIS: A well-done, medium-sized python library for rare events. |
| Q92364830 | PyRanges: efficient comparison of genomic intervals in Python |
| Q98180651 | PyRice: a Python package for querying Oryza Sativa databases |
| Q111514861 | PyRosetta Jupyter Notebooks Teach Biomolecular Structure Prediction and Design |
| Q100757212 | PySHS: Python Open Source Software for Second Harmonic Scattering |
| Q42697116 | PySeqLab: an open source Python package for sequence labeling and segmentation. |
| Q92228075 | PySpacell: A Python Package for Spatial Analysis of Cell Images |
| Q57915006 | PySwarms: a research toolkit for Particle Swarm Optimization in Python |
| Q47509047 | PyTorch |
| Q110502072 | PyTorch Operations Based Approach for Computing Local Binary Patterns |
| Q110502074 | PyTorch YOLOv3 Object Detection for Vehicle Identification |
| Q110502064 | PyTorch distributed |
| Q62657788 | PyTorch-BigGraph: A Large-scale Graph Embedding System |
| Q120789628 | PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta |
| Q110502045 | PyTorch-based implementation of label-aware graph representation for multi-class trajectory prediction |
| Q110502080 | PyTorch/Pyro Implementation for Representation of Motion in Latent Space |
| Q76472044 | PyTorch: An Imperative Style, High-Performance Deep Learning Library |
| Q113227908 | PyWavelets: A Python package for wavelet analysis |
| Q28729910 | PyXNAT: XNAT in Python |
| Q57530190 | PyXRF: Python-based X-ray fluorescence analysis package |
| Q30429349 | Pybedtools: a flexible Python library for manipulating genomic datasets and annotations |
| Q111898089 | Pycheron: A Python-Based Seismic Waveform Data Quality Control Software Package |
| Q35620431 | Pydna: a simulation and documentation tool for DNA assembly strategies using python. |
| Q104505745 | Pyfastx: a robust Python package for fast random access to sequences from plain and gzipped FASTA/Q files |
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| Q110500130 | TensorFlow Quantum: Impacts of Quantum State Preparation on Quantum Machine Learning Performance |
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| Q123270979 | Textual data science with R, Mónica Bécue‐Bertaut, Boca Raton: CRC Press. |
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| Q118771774 | The Application of Open Source Artificial Intelligence System Tensor Flow in Education |
| Q57814568 | The BackMAP Python module: how a simpler Ramachandran number can simplify the life of a protein simulator |
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| Q35050215 | The KEGG database. |
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| Q28109327 | The Kyoto Encyclopedia of Genes and Genomes—KEGG |
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| Q7777252 | Theano |
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| Q96615384 | TorchANI: A Free and Open Source PyTorch Based Deep Learning Implementation of the ANI Neural Network Potentials |
| Q111149517 | TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning |
| Q113306532 | TorchMetrics - Measuring Reproducibility in PyTorch |
| Q110500138 | Touch-Based Active Cloud Authentication Using Traditional Machine Learning and LSTM on a Distributed Tensorflow Framework |
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| Q111514917 | Towards virtual modelling environments for functional–structural plant models based on Jupyter notebooks: application to the modelling of mango tree growth and development |
| Q111900210 | TraViA: a Traffic data Visualization and Annotation tool in Python |
| Q110500174 | Traffic Sign Recognition for Self Driving Vehicles Using MatLab and Tensorflow |
| Q113196436 | Traffic analysis using NetFlow and Python |
| Q110499877 | Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data |
| Q64108195 | Transcriptomic changes during caste development through social interactions in the termite |
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| Q68958167 | TurbuStat: turbulence statistics in Python |
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| Q39439072 | Tutorial: simulating chromatography with Microsoft Excel Macros. |
| Q33553456 | Tutorial: using Microsoft Excel for health care CQI. |
| Q111150333 | Tweezepy: A Python package for calibrating forces in single-molecule video-tracking experiments |
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| Q2467290 | UMFPACK |
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| Q111932686 | USING OF RMANOVA IN R AND SPSS SOFTWARE ON THE EXAMPLE OF PROSPECTIVE ANALYSIS OF GLUCOSE TOLERANCE TEST RESULTS IN PATIENTS WITH POLYCYSTIC OVARY SYNDROME |
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| Q110527795 | Unbiased automated quantitation of ROS signals in live retinal neurons of Drosophila using Fiji/ImageJ |
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| Q59419350 | Understanding How GitHub Supports Curation Repositories |
| Q110499992 | Understanding Image Classification Using TensorFlow Deep Learning - Convolution Neural Network |
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| Q58217503 | Understanding the popular users: Following, affiliation influence and leadership on GitHub |
| Q110499905 | Underwater Object Detection using Tensorflow |
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| Q115317009 | Unifying the identification of biomedical entities with the Bioregistry |
| Q99512568 | Unsupervised Translation of Programming Languages |
| Q57908667 | Unveiling Exception Handling Bug Hazards in Android Based on GitHub and Google Code Issues |
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| Q110631893 | Usability of ReSt Module Using Four-Step Approach Based on Case Study Example and Infographic for SPSS Novice Users |
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| Q28364367 | Use of ImageJ software for histomorphometric evaluation of normal and severely affected canine ear canals |
| Q28364617 | Use of ImageJ to recover information from individual cells in a G protein-coupled receptor assay |
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| Q110499918 | Use of deep learning algorithms for real-time detection of vessels in confined spaces using the Tensorflow framework |
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| Q110499917 | Using Google TensorFlow Machine Learning Library for speech recognition |
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| Q99705187 | Using Maple to implement eLearning integrated with computer aided assessment |
| Q58535818 | Using Microsoft Excel to Generate Usage Statistics |
| Q51612916 | Using Microsoft Excel to compute the 5% overall site X/Q value and the 95th percentile of the distribution of doses to the nearest maximally exposed offsite individual (MEOI). |
| Q42613907 | Using Microsoft Excel to teach statistics in a graduate advanced practice nursing program |
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| Q111211935 | Using Microsoft Excel® to Calculate Descriptive Statistics and Create Graphs |
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| Q110499879 | Using TensorFlow-based Neural Network to estimate GNSS single frequency ionospheric delay (IONONet) |
| Q40478569 | Using image J to document healing in ulcers of the foot in diabetes. |
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| Q54432436 | Using the KEGG database resource. |
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| Q110500201 | Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data |
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| Q110499908 | Validating the practicality of utilising an image classifier developed using TensorFlow framework in collecting corrugation data from gravel roads |
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| Q111924883 | Validation of Basic Science Achievement Test Using R Software |
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| Q110527848 | Validation of the ImageJ package for alpha track counting on Solid State Nuclear Track Detectors |
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| Q111919156 | Verification of Several Important Theorems in Simple Random Sampling Using R Software |
| Q31144078 | VisFlow - Web-based Visualization Framework for Tabular Data with a Subset Flow Model |
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| Q110527842 | WE-D-204-06: An Open Source ImageJ CatPhan Analysis Tool |
| Q102537983 | WGCNA |
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| Q110527932 | WITHDRAWN: Practical methods for characterizing the optical performance of digital camera-based imaging systems: image processing application using ImageJ |
| Q93851403 | WPTherml: A Python Package for the Design of Materials for Harnessing Heat |
| Q109971386 | WPTherml: A Python Package for the Design of Materials for Harnessing Heat |
| Q109971391 | WPTherml: A Python Package for the Design of Materials for Harnessing Heat |
| Q109971392 | WPTherml: A Python Package for the Design of Materials for Harnessing Heat |
| Q57726689 | Wait for It: Determinants of Pull Request Evaluation Latency on GitHub |
| Q110499902 | Waste Collector Roboboat Using Neural Network Method Based on Tensorflow Framework |
| Q106987808 | Web scraping with Python: collecting more data from the modern web |
| Q60699356 | Web-based application for inverting one-dimensional magnetotelluric data using Python |
| Q35169983 | Web-based biobank system infrastructure monitoring using Python, Perl, and PHP. |
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| Q42430700 | Weighted Global Artificial Bee Colony Algorithm Makes Gas Sensor Deployment Efficient |
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| Q28364543 | Whole Mouse Brain Image Reconstruction from Serial Coronal Sections Using FIJI (ImageJ) |
| Q101321772 | WikiProject Jupyter |
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| Q113227989 | Windrose: A Python Matplotlib, Numpy library to manage wind and pollution data, draw windrose |
| Q110500264 | Withdrawal Notice: Implementation of Rock Paper Scissor Game using Convolutional Neural Network in Python with TensorFlow |
| Q33453839 | Writing analytic element programs in Python |
| Q35639655 | Wyrm: A Brain-Computer Interface Toolbox in Python |
| Q102063017 | YOLO Based Breast Masses Detection and Classification in Full-Field Digital Mammograms |
| Q95656964 | YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems |
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| Q96351980 | ZFBONE: An ImageJ toolset for semi-automatic analysis of zebrafish bone structures |
| Q110500255 | Zoo-Archaeology Using Deep Learning-Tensorflow in Linux |
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| Q4801057 | artificial bee colony algorithm |
| Q57984273 | astroplan: An Open Source Observation Planning Package in Python |
| Q113662110 | bRacatus |
| Q111602644 | bRacatus : A method to estimate the accuracy and biogeographical status of georeferenced biological data |
| Q68115967 | batman: BAsic Transit Model cAlculatioN in Python |
| Q111932828 | bioLEC: A Python package to measure Landscape Elevational Connectivity |
| Q91626942 | bssm: Bayesian Inference of Non-Linear and Non-Gaussian State Space |
| Q111150116 | ccbmlib – a Python package for modeling Tanimoto similarity value distributions |
| Q96649252 | cgbind: A Python Module and Web App for Automated Metallocage Construction and Host-Guest Characterization |
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| Q77205602 | copyright license |
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| Q36271294 | cyvcf2: fast, flexible variant analysis with Python. |
| Q59468879 | d2o: a distributed data object for parallel high-performance computing in Python |
| Q111897293 | ddop: A python package for data-driven operations management |
| Q43159085 | doGlycans-Tools for Preparing Carbohydrate Structures for Atomistic Simulations of Glycoproteins, Glycolipids, and Carbohydrate Polymers for GROMACS. |
| Q104854189 | dplyr |
| Q30590250 | eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows |
| Q93106033 | eeFit: a Microsoft Excel-embedded program for interactive analysis and fitting of experimental dose-response data |
| Q58198410 | egtplot: A Python Package for 3-Strategy Evolutionary Games |
| Q58198407 | egtplot: A Python Package for Three-Strategy Evolutionary Games |
| Q112108937 | fgivenx: A Python package for functional posterior plotting |
| Q110499953 | fib-tf: A TensorFlow-based Cardiac Electrophysiology Simulator |
| Q111900377 | flux-data-qaqc: A Python Package for Energy Balance Closure and Post-Processing of Eddy Flux Data |
| Q111150510 | fqfa: A pure Python package for genomic sequence files |
| Q506883 | free and open-source software |
| Q111899513 | fuelcell: A Python package and graphical user interface for electrochemical data analysis |
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| Q42217335 | g_mmpbsa--a GROMACS tool for high-throughput MM-PBSA calculations. |
| Q64166942 | galpy: A python LIBRARY FOR GALACTIC DYNAMICS |
| Q99876096 | geemap: A Python package for interactive mapping with Google Earth Engine |
| Q59126232 | gganatogram: An R package for modular visualisation of anatograms and tissues based on ggplot2 |
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| Q104520589 | ggplot2 |
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| Q104440669 | ggplot2: Elegant Graphics for Data Analysis |
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| Q47801576 | graphkernels: R and Python packages for graph comparison |
| Q56816547 | grlc Makes GitHub Taste Like Linked Data APIs |
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| Q30996500 | htsint: a Python library for sequencing pipelines that combines data through gene set generation |
| Q110527890 | https://researchopenworld.com/brain-volume-during-human-development-a-comparison-of-imagej-and-linear-measures-on-mri/# |
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| Q110499892 | hyper-sinh: An accurate and reliable function from shallow to deep learning in TensorFlow and Keras |
| Q50419865 | iFeature: a python package and web server for features extraction and selection from protein and peptide sequences. |
| Q57920793 | ijtiff: An R package providing TIFF I/O for ImageJ users |
| Q36186614 | imDEV: a graphical user interface to R multivariate analysis tools in Microsoft Excel |
| Q123190884 | intpakX |
| Q94603557 | ipcoal: An interactive Python package for simulating and analyzing genealogies and sequences on a species tree or network |
| Q110527912 | jPOR: An ImageJ macro to quantify total optical porosity from blue-stained thin sections |
| Q33512072 | jSimMacs for GROMACS: a Java application for advanced molecular dynamics simulations with remote access capability |
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