Listing of papers about machine learning for proteins.

Protein hallucination and inpainting with RoseTTAFold

A powerful and flexible machine learning platform for drug discovery

Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).

A library for graph deep learning research

Highlight Paper about logical and text reasoning

Graph Markov Neural Networks

A comprehensive collection of recent papers on graph deep learning

Understanding Large Social Networks using LINE paper.

https://torch.ch

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

TensorFlow-based neural network library

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016

An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R

An Open Source Machine Learning Framework for Everyone

LINE: Large-scale information network embedding