Project OCEAN is an open science collaboration focused on understanding the open source ecosystems creating datasets that enable research and forming a clear understanding of the state of open source communities.
Implementation and applications of DenseNet with dilated convolutional blocks + parameterization with adversarial training.
Minimalist implementation of Relational inductive biases, deep learning, and graph networks in PyTorch.
This repository contains implementation of 4 different methods for inference in Bayesian-networks. Nothing is hard coded.
Geom2Vec: Your pretrained GNN is secretly a geometrical featurizer for conformational dynamics
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