1.deepchem / deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
- materials-science
- hacktoberfest
Ranked by Attention Score: stars gained over the last 90 complete days
37 repositories by Attention Score · Aug 7, 2026 – Nov 4, 2026 (UTC)
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Official repository for the Boltz biomolecular interaction models
Public development project of the LAMMPS MD software package
Message Passing Neural Networks for Molecule Property Prediction
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Open Babel is a chemical toolbox designed to speak the many languages of chemical data.
Official Repository for the Uni-Mol Series Methods
WebGL accelerated JavaScript molecular graphics library
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
Public/backup repository of the GROMACS molecular simulation toolkit. Please do not mine the metadata blindly; we use https://gitlab.com/gromacs/gromacs for code review and issue tracking.
The Chemistry Development Kit
A Euclidean diffusion model for structure-based drug design.
An open library for the analysis of molecular dynamics trajectories
Molecular Processing Made Easy.
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Parsers and algorithms for computational chemistry logfiles
Universal cheminformatics toolkit, utilities and database search tools
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
a molecular descriptor calculator
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Source code for "DeepDTA: deep drug-target binding affinity prediction"
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
⚗ A package useful for chemistry written in Python
GraphDTA: Predicting drug-target binding affinity with graph neural networks
Python package for graph neural networks in chemistry and biology
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Deep Reinforcement Learning for de-novo Drug Design
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
The repository host gives no description.
The repository host gives no description.
Descriptor computation(chemistry) and (optional) storage for machine learning
Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures