Ke Tu (tadpole)

tadpole

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Company:Tsinghua University

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thumanlab

Ke Tu's starred repositories

d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Language:PythonLicense:Apache-2.0Stargazers:61825Issues:1053Issues:0

faiss

A library for efficient similarity search and clustering of dense vectors.

.tmux

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

Language:ShellLicense:MITStargazers:21888Issues:250Issues:675

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Language:PythonLicense:MITStargazers:8865Issues:287Issues:193

RSPapers

A Curated List of Must-read Papers on Recommender System.

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

Language:Jupyter NotebookLicense:MITStargazers:4749Issues:250Issues:14

awesome-causality-algorithms

An index of algorithms for learning causality with data

POT

POT : Python Optimal Transport

Language:PythonLicense:MITStargazers:2396Issues:47Issues:246

secretflow

A unified framework for privacy-preserving data analysis and machine learning

Language:PythonLicense:Apache-2.0Stargazers:2325Issues:51Issues:859

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

Language:PythonLicense:Apache-2.0Stargazers:1583Issues:76Issues:115

QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

AutoGL

An autoML framework & toolkit for machine learning on graphs.

Language:PythonLicense:Apache-2.0Stargazers:1085Issues:29Issues:39

gnn-model-explainer

gnn explainer

Language:PythonLicense:Apache-2.0Stargazers:860Issues:22Issues:31

OpenHGNN

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Language:PythonLicense:Apache-2.0Stargazers:848Issues:10Issues:52

HGNN

Hypergraph Neural Networks (AAAI 2019)

Language:PythonLicense:MITStargazers:669Issues:6Issues:22

DropEdge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Language:PythonLicense:MITStargazers:471Issues:10Issues:14

causal-curve

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

Language:PythonLicense:MITStargazers:271Issues:7Issues:25

DICE

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

Language:PythonLicense:MITStargazers:148Issues:2Issues:10

FLAG

Official implementation of our FLAG paper (CVPR2022)

Language:PythonLicense:MITStargazers:140Issues:3Issues:11

KDDCUP_2020_AutoGraph_1st_Place

KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution

Language:PythonLicense:Apache-2.0Stargazers:98Issues:5Issues:1

GCN-LPA

A tensorflow implementation of GCN-LPA

Language:PythonLicense:MITStargazers:97Issues:3Issues:3

ShapleyExplanationNetworks

Implementation of the paper "Shapley Explanation Networks"

Language:PythonLicense:MITStargazers:84Issues:4Issues:6

NARS

Scalable Graph Neural Networks for Heterogeneous Graphs

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G2DM

Generalizing to unseen domains via distribution matching

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