leekh7411

GNNPapers

Must-read papers on graph neural networks (GNN)

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

ai-deadlines

:alarm_clock: AI conference deadline countdowns

graph_nets

Build Graph Nets in Tensorflow

OpenKE

An Open-Source Package for Knowledge Embedding (KE)

PyTorch-BigGraph

Generate embeddings from large-scale graph-structured data.

pororo

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

pymol-open-source

Open-source foundation of the user-sponsored PyMOL molecular visualization system.

treelstm

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

TimeGAN

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

rmsd

Calculate Root-mean-square deviation (RMSD) of two molecules, using rotation, in xyz or pdb format

GRAN

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

RE-Net

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

bonito

A PyTorch Basecaller for Oxford Nanopore Reads

mmkb

Several data modalities for KBs (visual, numerical, temporal, etc.)

Probabilistic-Backpropagation

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

ProteinGAN

biograkn

BioGrakn Knowledge Graph

MolGAN-pytorch

Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

PyBioMed

machine learning, molecular descriptor

typedb-driver-examples

TypeDB Driver Example Projects and Tutorials

DeepGenerativeModelingIntro

PyTorch Code used in 'Introduction to Deep Generative Modeling'

propy3

A Python 3 version of the protein descriptor package propy

Deep-learning-Uncertainty-papers

Uncertainty in Deep Learning Papers

generative-causal-explanations

Code for "Generative causal explanations of black-box classifiers"

raptgen

mutational-semantics-neurips2020

Learning mutational semantics