Claire Lee's starred repositories
Awesome-Causality-and-ML-Papers
关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结
awesome-causality-algorithms
An index of algorithms for learning causality with data
KnowledgeGraphCourse
东南大学《知识图谱》研究生课程
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Paper_CausalInference_abtest
因果推理&AB实验相关论文小书库
ml_implementation
Implementation of Machine Learning Algorithms
Awesome-Uplift-Model
🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
nlp-tutorial
NLP新手入门教程
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins