Alternatives and similar repositories for ChemGAN-challenge

Users that are interested in ChemGAN-challenge are comparing it to the libraries listed below

• topazape / LSTM_Chem
  Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
  ☆117Updated 2 years ago
• Gananath / DrugAI
  Generation and Classification of Drug Like molecule usings Neural Networks
  ☆66Updated 6 years ago
• isayev / ReLeaSE
  Deep Reinforcement Learning for de-novo Drug Design
  ☆363Updated 3 years ago
• LeeJunHyun / Database-Resources-for-Drug-Discovery
  The Databases for Drug Discovery (DDD)
  ☆143Updated 6 years ago
• llSourcell / AI_for_healthcare
  This is the code for "AI for Healthcare" By Siraj Raval on Youtube
  ☆117Updated 7 years ago
• deepchem / DeepLearningLifeSciences
  Example code from the book "Deep Learning for the Life Sciences"
  ☆380Updated 4 years ago
• ZJULearning / graph_level_drug_discovery
  ☆61Updated 6 years ago
• insilicomedicine / GENTRL
  Generative Tensorial Reinforcement Learning (GENTRL) model
  ☆623Updated last year
• insilicomedicine / BiAAE
  Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders
  ☆53Updated 5 years ago
• XericZephyr / seq2seq-fingerprint
  Official Implementation for "Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery".
  ☆39Updated 7 years ago
• deepchem / torchchem
  An experimental repo for experimenting with PyTorch models
  ☆36Updated 2 years ago
• edvardlindelof / graph-neural-networks-for-drug-discovery
  ☆97Updated 5 years ago
• gablg1 / ORGAN
  Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
  ☆240Updated 2 years ago
• oddt / oddt
  Open Drug Discovery Toolkit
  ☆449Updated 2 years ago
• NVIDIA / cheminformatics
  Facilitates searching, screening, and organizing large chemical databases
  ☆168Updated last year
• bioinf-jku / interpretable_ml_drug_discovery
  Interpreting graph convolutional filters of target prediction network
  ☆48Updated 6 years ago
• benstaf / deepchem
  Deep-learning models for Drug Discovery and Quantum Chemistry
  ☆16Updated 8 years ago
• deepchem / deepchem-gui
  A simple web GUI for DeepChem
  ☆62Updated last year
• aspuru-guzik-group / ORGANIC
  Code repo for optimizing distributions of molecules.
  ☆128Updated 6 years ago
• rickyHong / DeepMind-alphafold-repl
  https://github.com/deepmind/deepmind-research
  ☆44Updated 6 years ago
• MarcusOlivecrona / REINVENT
  Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning
  ☆329Updated 4 years ago
• HIPS / molecule-autoencoder
  A project to enable optimization of molecules by transforming them to and from a continuous representation.
  ☆155Updated 8 years ago
• songlab-cal / tape-neurips2019
  Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…
  ☆121Updated 4 years ago
• LucaAngioloni / ProteinSecondaryStructure-CNN
  Protein Secondary Structure predictor using Convolutional Neural Networks
  ☆113Updated 2 years 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.…
  ☆198Updated 2 years ago
• spoilt333 / onco-aae
  ☆53Updated 8 years ago
• jonathanking / protein-transformer
  Predicting protein structure through sequence modeling
  ☆112Updated 5 years ago
• rdkit / conda-rdkit
  Conda build recipe for the rdkit
  ☆51Updated 3 years ago
• pcko1 / Deep-Drug-Coder
  A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at Astr…
  ☆188Updated 2 years ago
• tmacdou4 / 2019-nCov
  Efforts towards proposing a potentially highly active molecule against a target protein of the 2019 Novel Coronavirus
  ☆78Updated 5 years ago