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agcrn

Adaptive Graph Convolutional Recurrent Network

alaska

alpha-zero

astgcn

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

attention-learn-to-route

Attention based model for learning to solve different routing problems

autoode-dsl

awesome-explainable-ai

A collection of research materials on explainable AI/ML

bittigerlab

沁原的硅谷创新课

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

contourgan

Tensorflow for ContourGAN: Image Contour Detection with Generative Adversarial Encoder-Decoder Networks

course-v3

The 3rd edition of course.fast.ai

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

dcrnn_pytorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

deepxde

Deep learning library for solving differential equations and more

diffad

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023

dynet

DyNet: The Dynamic Neural Network Toolkit

e-commerce-crawlers

:rocket:电商网站爬虫合集，淘宝京东亚马逊等

elasticsearch-definitive-guide

The Definitive Guide to Elasticsearch

fastai

The fastai deep learning library, plus lessons and and tutorials

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-pde

Using graph network to solve PDEs

graph-representation-learning

Autoencoders for Link Prediction and Semi-Supervised Node Classification

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

graphrnn

graphwaveletneuralnetwork

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

haskey

homework in master

hierarchical_il_rl

Code for hierarchical imitation learning and reinforcement learning