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adversarial-squad

Code from Jia and Liang, "Adversarial Examples for Evaluating Reading Comprehension Systems" (EMNLP 2017)

asreader

This is an implementation of the Attention Sum Reader model as presented in "Text Comprehension with the Attention Sum Reader Network" available at http://arxiv.org/abs/1603.01547.

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

awesome-rl

Reinforcement learning resources curated

books

books-1

book list

cakechat

CakeChat: Emotional Generative Dialog System

clicr

Machine reading comprehension on clinical case reports

command

command to install virtualenv, cuda, cudnn, etc

ctrmodel

CTR prediction model based on spark(LR, GBDT, DNN)

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network

deep-learning-for-tracking-and-detection

Collection of papers and other resources for object tracking and detection using deep learning

deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dl-resources

DL resources especially for NLP

ecommerce_ds

fairseq

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

gain

Generative Adversarial Imputation Networks (GAIN)

ganhacks

starter from "How to Train a GAN?" at NIPS2016

graph-deep-learning

Repository for Graph Deep Learning

graph-dl

DL papers for Graph structured data

graph_convolutional_lstm

High-Order Graph Convolutional Recurrent Neural Network

ir-course

Information Retrieval and Text Mining course at the University of Stavanger (DAT640), 2020 fall

keras-recommendation

Using Keras to implement recommender systems

knowledge_graph_demo

This is a demo for a simple knowledge graph.

learngit

leetcode_notes

lightseq

LightSeq: A High-Performance Inference Library for Sequence Processing and Generation

lstm-char-cnn

LSTM language model with CNN over characters

models

Models built with TensorFlow