leekh7411

DeepGenerativeModelingIntro

PyTorch Code used in 'Introduction to Deep Generative Modeling'

Probabilistic-Backpropagation

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

mutational-semantics-neurips2020

Learning mutational semantics

TimeGAN

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

raptgen

mmkb

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

RE-Net

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

dgl

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

ProteinGAN

propy3

A Python 3 version of the protein descriptor package propy

PyBioMed

machine learning, molecular descriptor

pororo

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

Deep-learning-Uncertainty-papers

Uncertainty in Deep Learning Papers

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.

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.

rmsd

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

bonito

A PyTorch Basecaller for Oxford Nanopore Reads

generative-causal-explanations

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

treelstm

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

ai-deadlines

:alarm_clock: AI conference deadline countdowns

graph_nets

Build Graph Nets in Tensorflow

GRAN

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

MolGAN-pytorch

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

PyTorch-BigGraph

Generate embeddings from large-scale graph-structured data.

typedb-driver-examples

TypeDB Driver Example Projects and Tutorials

biograkn

BioGrakn Knowledge Graph

OpenKE

An Open-Source Package for Knowledge Embedding (KE)

GNNPapers

Must-read papers on graph neural networks (GNN)

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers