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2015-siggraph-convolutional-ot

J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM Transactions on Graphics (Proc. SIGGRAPH 2015), 34(4), pp. 66:1–66:11, 2015

2016-icml-gromov-wasserstein

Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.

algorithms

Minimal examples of data structures and algorithms in Python

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

bayesian-pitch-tracking-using-harmonic-model

Fast Bayesian pitch and harmonic order tracking, voicing unvoicing detection (VAD) using the harmonic model

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

blockchain_go

A simplified blockchain implementation in Golang

bokeh

Interactive Data Visualization in the browser, from Python

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

cvae

Conditional variational autoencoder implementation in Torch

dao-1.0

The Standard DAO Framework at 0xbb9bc244d798123fde783fcc1c72d3bb8c189413

dcgan_vae_pytorch

dcgan combined with vae in pytorch!

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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.

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dngr

Source Code of DNGR

dualvd

eeg_vae

eegrunt

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

enigma

Multiplatform payload dropper

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

gae

Implementation of Graph Auto-Encoders in TensorFlow

gcn

Implementation of Graph Convolutional Networks in TensorFlow

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

gnnpapers

Must-read papers on graph neural networks (GNN)

gnns-for-nlp

Graph Neural Networks for Natural Language Processing tutorial at EMNLP 2019

google-research

Google AI Research