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deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

dl-setup

Instructions for setting up the software on your deep learning machine

dl4nlp

Deep Learning for NLP resources

dl_tutorials

Deep learning tutorials (2nd ed.)

dm_control

The DeepMind Control Suite and Control Package

draw_convnet

dtm

This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

emdl

Embedded and mobile deep learning research resources

end-to-end-for-chinese-plate-recognition

多标签分类,端到端的中文车牌识别基于mxnet .

face-resources

fasttext

Library for fast text representation and classification.

fnlp

中文自然语言处理工具包 Toolkit for Chinese natural language processing

gan-tensorflow

Implement Generative Adversarial Nets by Tensorflow

gaussian-lda-word2vec

LDA topic modeling with word2vec using gaussian topic distributions for infinite vocabulary

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gem

gensim

Topic Modelling for Humans

gib

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

gibbs-lda-py

A simple python gibbs lda.

github-cheat-sheet

A list of cool features of Git and GitHub.

gpudmm

Topic Modeling for Short Texts with Auxiliary Word Embeddings

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

handong1587.github.io

hello-world

hello-world2

test repository

hin-datasets-for-recommendation-and-network-embedding

Heterogeneous Information Network Datasets for Recommendation and Network Embedding