Summit

github.com/sustainable-processes/summit
Idle150updated 1 year ago
Jupyter Notebook
MIT

A python package for optimizing chemical reactions using machine learning (contains 10 algorithms + several benchmarks).

Sourced from

  • Awesome Cheminformaticsgithub.com/sustainable-processes/summit
  • Awesome Python Chemistrygithub.com/sustainable-processes/summit
  • GitHubgithub.com/sustainable-processes/summit

Related resources

Directed message passing neural networks for property prediction of molecules and reactions with uncertainty and interpretation.

Active2.4K4 days ago
Python
NOASSERTION

Low-cost, modular self-driving laboratory platform democratizing autonomous chemical experimentation with open control software, device CAD/PCB files, and example optimization campaigns (Noël Research Group, University of Amsterdam, Apache 2.0, 2026)

Active365 months ago
Python
Apache-2.0

Deep learning library for Chemistry based on Tensorflow

Active6.9K2 weeks ago
Python
MIT

Machine learning in Julia

Active4.7K2 weeks ago
Julia
NOASSERTION

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

Numerical differential equation solving in JAX

Active2.1K2 months ago
Python
Apache-2.0