Alternatives and similar repositories for DeepLearningLifeSciences

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

• 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.…
  ☆198Updated 2 years ago
• oddt / oddt
  Open Drug Discovery Toolkit
  ☆450Updated 2 years ago
• sacdallago / bio_embeddings
  Get protein embeddings from protein sequences
  ☆498Updated 2 years ago
• LeeJunHyun / Database-Resources-for-Drug-Discovery
  The Databases for Drug Discovery (DDD)
  ☆143Updated 6 years ago
• insilicomedicine / GENTRL
  Generative Tensorial Reinforcement Learning (GENTRL) model
  ☆623Updated last year
• kexinhuang12345 / DeepPurpose
  A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
  ☆1,087Updated last year
• salesforce / provis
  Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."
  ☆302Updated 5 months ago
• BioPandas / biopandas
  Working with molecular structures in pandas DataFrames
  ☆739Updated last year
• isayev / ReLeaSE
  Deep Reinforcement Learning for de-novo Drug Design
  ☆363Updated 3 years 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).
  ☆140Updated 2 weeks ago
• pb3lab / ibm3202
  Google Colab Tutorials for IBM3202
  ☆267Updated 11 months ago
• churchlab / UniRep
  UniRep model, usage, and examples.
  ☆355Updated 3 years ago
• volkamerlab / teachopencadd
  TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
  ☆918Updated last week
• LPDI-EPFL / masif
  MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
  ☆689Updated last year
• benb111 / awesome-small-molecule-ml
  A curated list of resources for machine learning for small-molecule drug discovery
  ☆228Updated last year
• AdaptInfer / CompBioDatasetsForMachineLearning
  A Curated List of Computational Biology Datasets Suitable for Machine Learning
  ☆186Updated last year
• chembl / chembl_webresource_client
  Official Python client for accessing ChEMBL API
  ☆422Updated 8 months ago
• Rostlab / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆119Updated 5 years ago
• nadavbra / protein_bert
  ☆555Updated 6 months ago
• NVIDIA / cheminformatics
  Facilitates searching, screening, and organizing large chemical databases
  ☆168Updated last year
• topazape / LSTM_Chem
  Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
  ☆117Updated 2 years ago
• jonathanking / protein-transformer
  Predicting protein structure through sequence modeling
  ☆112Updated 5 years ago
• gnina / gnina
  A deep learning framework for molecular docking
  ☆781Updated last month
• dellacortelab / prospr
  ProSPr: Protein Structure Prediction
  ☆419Updated 3 years ago
• dglai / Graph-Neural-Networks-in-Life-Sciences
  ☆218Updated 2 years ago
• cansyl / DEEPScreen
  DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
  ☆114Updated last year
• HannesStark / EquiBind
  EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
  ☆519Updated 7 months ago
• Biomatter-Designs / ProteinGAN
  ☆190Updated 3 years ago
• benstaf / ChemGAN-challenge
  Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
  ☆115Updated 2 years ago
• aqlaboratory / rgn
  Recurrent Geometric Networks for end-to-end differentiable learning of protein structure
  ☆325Updated 6 years ago