yolov5 ROSROS使用YOLOv5 run YOLOv5 in ROS
Stars: ✭ 77 (+208%)
conda-mirrorMirror upstream conda channels
Stars: ✭ 71 (+184%)
PTXQCA Quality Control (QC) pipeline for Proteomics (PTX) results generated by MaxQuant
Stars: ✭ 34 (+36%)
philosopherA complete toolkit for shotgun proteomics data analysis
Stars: ✭ 82 (+228%)
cosmosRCOSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.
Stars: ✭ 30 (+20%)
OmicLearn🧪 🖥 Transparent exploration of machine learning for biomarker discovery from proteomics and omics data
Stars: ✭ 46 (+84%)
PSCondaEnvsImplementation of Conda's activate/deactivate functions in Powershell.
Stars: ✭ 84 (+236%)
Dephell📦 🔥 Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
Stars: ✭ 1,730 (+6820%)
CondaOS-agnostic, system-level binary package manager and ecosystem
Stars: ✭ 4,438 (+17652%)
NbdevCreate delightful python projects using Jupyter Notebooks
Stars: ✭ 3,061 (+12144%)
conda-env-builderBuild and maintain multiple custom conda environments all in once place.
Stars: ✭ 18 (-28%)
pc guidelinesGuidelines for using IvLabs PC. General instructions for maintaining and using any PC/laptop while using Ubuntu for Robotics/DL/RL research.
Stars: ✭ 23 (-8%)
conda-lockLightweight lockfile for conda environments
Stars: ✭ 184 (+636%)
pytorch-aarch64PyTorch wheels (whl) & conda for aarch64 / ARMv8 / ARM64
Stars: ✭ 137 (+448%)
jwqlThe James Webb Space Telescope Quicklook Application
Stars: ✭ 42 (+68%)
pyenvdiff-libPython environment comparison tool
Stars: ✭ 23 (-8%)
pyrpipeReproducible bioinformatics pipelines in python. Import any Unix tool/command in python.
Stars: ✭ 53 (+112%)
tibannaTibanna helps you run your genomic pipelines on Amazon cloud (AWS). It is used by the 4DN DCIC (4D Nucleome Data Coordination and Integration Center) to process data. Tibanna supports CWL/WDL (w/ docker), Snakemake (w/ conda) and custom Docker/shell command.
Stars: ✭ 61 (+144%)
vscode-micromambaA VSCode extension to generate development environments using micromamba and conda-forge package repository
Stars: ✭ 16 (-36%)
FreeCAD Condaconda recipes for freecad and dependencies of freecad
Stars: ✭ 35 (+40%)
micromamba-dockerRapid builds of small Conda-based containers using micromamba.
Stars: ✭ 97 (+288%)
euro-calliopeA workflow to build models of the European electricity system for Calliope.
Stars: ✭ 23 (-8%)
conda-devenvA conda tool to work with multiple projects in development mode.
Stars: ✭ 95 (+280%)
MLab“云上炼丹师”中的云
Stars: ✭ 54 (+116%)
copulaeMultivariate data modelling with Copulas in Python
Stars: ✭ 96 (+284%)
conda-docsConda documentation
Stars: ✭ 313 (+1152%)
nimboRun compute jobs on AWS as if you were running them locally.
Stars: ✭ 126 (+404%)
searchguiHighly adaptable common interface for proteomics search and de novo engines
Stars: ✭ 22 (-12%)
bacnetBACNET is a Java based platform to develop website for multi-omics analysis
Stars: ✭ 12 (-52%)
MSFraggerUltrafast, comprehensive peptide identification for mass spectrometry–based proteomics
Stars: ✭ 43 (+72%)
DAtestCompare different differential abundance and expression methods
Stars: ✭ 34 (+36%)
OmicsIntegrator2Prize-Collecting Steiner Forests for Interactomes
Stars: ✭ 40 (+60%)
FALDOFeature Annotation Location Description Ontology
Stars: ✭ 28 (+12%)
RforProteomicsUsing R and Bioconductor packages for the analysis and comprehension of proteomics data.
Stars: ✭ 52 (+108%)
QFeaturesQuantitative features for mass spectrometry data
Stars: ✭ 12 (-52%)
PAW pipelineA Comet-based, best practices proteomics pipeline.
Stars: ✭ 22 (-12%)
pyqmspyQms, generalized, fast and accurate mass spectrometry data quantification
Stars: ✭ 22 (-12%)
pFind3No description or website provided.
Stars: ✭ 20 (-20%)
lightdockProtein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Stars: ✭ 110 (+340%)
pyprophetPyProphet: Semi-supervised learning and scoring of OpenSWATH results.
Stars: ✭ 23 (-8%)
peptide-shakerInterpretation of proteomics identification results
Stars: ✭ 32 (+28%)
pia📚 🔬 PIA - Protein Inference Algorithms
Stars: ✭ 19 (-24%)
pDeeppDeep: Predicting MS/MS Spectra of Peptides with Deep Learning
Stars: ✭ 24 (-4%)