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5 of 5,684 resources
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals.
Directed message passing neural networks for property prediction of molecules and reactions with uncertainty and interpretation.
Provides functionality for producing geometric representations of protein and RNA structures, and biological interaction networks.
Deep learning library for Chemistry based on Tensorflow
OpenChem is a deep learning toolkit for Computational Chemistry with PyTorch backend.