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 180 complete days
37 repositories by Attention Score · May 9, 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
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.
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
A Euclidean diffusion model for structure-based drug design.
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
The Chemistry Development Kit
An open library for the analysis of molecular dynamics trajectories
Parsers and algorithms for computational chemistry logfiles
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Molecular Processing Made Easy.
Universal cheminformatics toolkit, utilities and database search tools
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
⚗ A package useful for chemistry written in Python
a molecular descriptor calculator
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
GraphDTA: Predicting drug-target binding affinity with graph neural networks
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Source code for "DeepDTA: deep drug-target binding affinity prediction"
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Python package for graph neural networks in chemistry and biology
The repository host gives no description.
The repository host gives no description.
Deep Reinforcement Learning for de-novo Drug Design
Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures
Descriptor computation(chemistry) and (optional) storage for machine learning