Alternatives and similar repositories for CompBioDatasetsForMachineLearning:

Users that are interested in CompBioDatasetsForMachineLearning are comparing it to the libraries listed below

• kexinhuang12345 / ml-genomics-resources
  Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)
  ☆76Updated 3 years ago
• Bjoux2 / DeepLearning-in-Bioinformatics
  For anyone who are eager to applying deep learning in bioinformatics!
  ☆122Updated 6 years ago
• abidlabs / deep-learning-genomics-primer
  Contains files for the deep learning in genomics primer.
  ☆267Updated 5 years ago
• greenelab / tybalt
  Training and evaluating a variational autoencoder for pan-cancer gene expression data
  ☆165Updated 6 years ago
• cmap / cmapPy
  Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools
  ☆130Updated 2 years ago
• kundajelab / bpnet
  Toolkit to train base-resolution deep neural networks on functional genomics data and to interpret them
  ☆150Updated 6 months ago
• FunctionLab / ExPecto
  predicting expression effects of human genome variants ab initio from sequence
  ☆126Updated 3 weeks ago
• Google-Health / genomics-research
  ☆131Updated last month
• idekerlab / DrugCell
  A visible neural network model for drug response prediction
  ☆139Updated last year
• ArnovanHilten / GenNet
  Framework for Interpretable Neural Networks
  ☆99Updated 2 weeks ago
• Genentech / gReLU
  gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
  ☆245Updated this week
• kipoi / models
  Model zoo for genomics
  ☆166Updated 6 months ago
• OATML-Markslab / EVE
  Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…
  ☆166Updated 11 months ago
• Bin-Chen-Lab / Awesome_BigData_AI_DrugDiscovery
  A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks.…
  ☆186Updated last year
• jump-cellpainting / datasets
  Images and other data from the JUMP Cell Painting Consortium
  ☆165Updated this week
• jisraeli / DeepBind
  Training and testing of DeepBind models.
  ☆92Updated 9 years ago
• openproblems-bio / openproblems
  Formalizing and benchmarking open problems in single-cell genomics
  ☆326Updated last week
• kipoi / kipoi
  Kipoi's model zoo API
  ☆235Updated 9 months ago
• liyu95 / Deep_learning_examples
  Examples of using deep learning in Bioinformatics
  ☆411Updated 10 months ago
• virtualramblas / awesome-deep-learning-4-life-sciences
  A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
  ☆107Updated 3 weeks ago
• chanzuckerberg / scRNA-python-workshop
  All the action is on the course webpage -->
  ☆28Updated 3 months ago
• modernatx / seqlike
  Unified biological sequence manipulation in Python
  ☆208Updated 8 months ago
• RasmussenLab / MOVE
  MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
  ☆73Updated 3 months ago
• deanslee / FigureOneLab
  Hone computational biology skills by re-enacting Figure 1 of modern biology papers
  ☆205Updated 6 months ago
• rezacsedu / XAI-for-bioinformatics
  Explainable AI for Bioinformatics
  ☆122Updated last year
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆148Updated 2 years ago
• burkesquires / python_biologist
  Python Programming for Biologists
  ☆128Updated 3 months ago
• calico / basenji
  Sequential regulatory activity predictions with deep convolutional neural networks.
  ☆424Updated 8 months ago
• openvax / mhcflurry
  Peptide-MHC I binding affinity prediction
  ☆199Updated 3 months ago
• CSB5 / CaDRReS
  Cancer Drug Response prediction using a Recommender System
  ☆41Updated last year