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awesome-deep-learning-papers

The most cited deep learning papers

bert

TensorFlow code and pre-trained models for BERT

caffe

Caffe: a fast open framework for deep learning.

chemprop

Message Passing Neural Networks for Molecule Property Prediction

contiguous-succotash

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

crop_yield_prediction

Crop Yield Prediction with Deep Learning

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

draw_convnet

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fast-pixel-cnn

Speed up PixelCNN++ image generation by up to a 183 times

g2sat

G2SAT: Learning to Generate SAT Formulas

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gitskills

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

graph-pooling

graph2nn-1

code for paper "Graph Structure of Neural Networks"

graph_nets

Build Graph Nets in Tensorflow

graphsage

Representation learning on large graphs using stochastic graph convolutions.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hello_world

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

hiertcn

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

icml18-jtnn

libcomcat

Library of functions and wrapper scripts for accessing NEIC ComCat server data

mygithubpage

p-gnn

Position-aware Graph Neural Networks

pytorch_geometric

Graph Neural Network Library for PyTorch

pytorch_rvae

Recurrent Variational Autoencoder that generates sequential data implemented in pytorch