SchNetPack

github.com/atomistic-machine-learning/schnetpack
Active934updated 3 weeks ago
Python
NOASSERTION

PyTorch toolkit for deep neural networks in atomistic simulations, implementing SchNet, DimeNet++, PaiNN, and GemNet for molecular dynamics and quantum chemistry (900+ stars)

Sourced from

  • Awesome Python Chemistrygithub.com/atomistic-machine-learning/schnetpack
  • Awesome AI for Sciencegithub.com/atomistic-machine-learning/schnetpack
  • GitHubgithub.com/atomistic-machine-learning/schnetpack

Related resources

E(3)-equivariant neural network interatomic potentials achieving DFT accuracy with up to 1000× less training data than invariant models, foundational architecture behind MACE and Allegro (Harvard, MIT, Nature Communications 2022)

Active9541 week ago
Python
MIT

Highly scalable equivariant deep learning interatomic potentials enabling million-atom molecular dynamics simulations with ab initio accuracy, building on E(3)-equivariant architectures for large-scale atomistic modeling (mir-group, MIT License, 480+ stars)

Active4922 months ago
Python
MIT

Materials informatics benchmark

Stale2142 years ago
Python
MIT

Deep learning library for Chemistry based on Tensorflow

Active6.9K2 weeks ago
Python
MIT

Cross-platform library for differentiable programming of quantum computers with automatic differentiation, enabling hybrid quantum-classical machine learning for quantum chemistry, quantum physics, and NISQ algorithm research (Xanadu, 3k+ stars)

Active3.4K1 week ago
Python
Apache-2.0

Another list focuses on Python stuff related to Chemistry.

Idle1.4K11 months ago
NOASSERTION