Ke Tu's starred repositories
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
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
awesome-causality-algorithms
An index of algorithms for learning causality with data
secretflow
A unified framework for privacy-preserving data analysis and machine learning
Awesome-RSPapers
Recommender System Papers
gnn-model-explainer
gnn explainer
awesome-graph-transformer
Papers about graph transformers.
causal-curve
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
Awesome-GNN-Recommendation
Graph Neural Network
KDDCUP_2020_AutoGraph_1st_Place
KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution
ShapleyExplanationNetworks
Implementation of the paper "Shapley Explanation Networks"