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 30 complete days
33 repositories by Attention Score · Oct 6, 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.
WebGL accelerated JavaScript molecular graphics library
Official Repository for the Uni-Mol Series Methods
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)
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
An open library for the analysis of molecular dynamics trajectories
The Chemistry Development Kit
Universal cheminformatics toolkit, utilities and database search tools
A Euclidean diffusion model for structure-based drug design.
a molecular descriptor calculator
Parsers and algorithms for computational chemistry logfiles
Molecular Processing Made Easy.
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
Source code for "DeepDTA: deep drug-target binding affinity prediction"
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
The repository host gives no description.
Deep Reinforcement Learning for de-novo Drug Design
⚗ A package useful for chemistry written in Python
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures