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cogdl

CogDL: An Extensive Research Toolkit for Graphs

come

Implementation of ComE algorithm

come-1

Learning Community Embedding with Community Detection and Node Embedding on Graphs

communitygan

A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)

competition-baseline

数据科学竞赛各种baseline代码、思路分享

computer-networking-a-top-down-approach-notes

《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。

condgen

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

crypto-deanonymization

De-anonymize Cryptocurrency with Spark Distributed Analysis

d3.v4-api-translation

D3.js 4.x 中文手册

danmf

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

daor

DAOR Parameter-free Embedding Framework for Large Graphs (Networks)

data_mining_models

Basic data mining model, including feature importance display

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

dblp

multi-label classification on DBLP dataset with DeepWalk algorithm to extract latent dimension

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

dcrnn_pytorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

de-anonymization

de-anonymization-1

Automatically exported from code.google.com/p/de-anonymization

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deep-learning-resources

由淺入深的深度學習資源 Collection of deep learning materials for everyone

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepmove

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

deeprobust

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

deepsnap

Python library assists deep learning on graphs

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

deepwalk-master

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dgl

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