Heyang Gong's repositories
awesome-causality-data
A data index for learning causality.
NessCausalML
Robert Ness's Causal Machine Learning Course 总结
AboutCausalAI
This is an Introduction to Causal AI
ai-deadlines
:alarm_clock: AI conference deadline countdowns
awesome-causal-ChatGPT
Awesome Causal ChatGPT
awesome-causality-algorithms
An index of algorithms for learning causality with data
causal-learn
Causal Discovery for Python. Translation and extension of the Tetrad Java code.
causalml-data
Uplift modeling and causal inference with machine learning algorithms
ColossalAI
Making large AI models cheaper, faster and more accessible
DecisionTree
《机器学习》周志华（西瓜书）的决策树，实现了决策树的构建、可视化及预测。
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Info-Causal-Models
信息因果模型
jmlr-style-file
LaTeX style file for the Journal of Machine Learning Research
llm_interview_note
大模型面试题及答案，大模型八股文
machine-learning-toy-code
《机器学习》（西瓜书）代码实战
pyro_zh_tutorial
Pyro official tutorial 的中文编译项目，在保证原文意思的前提下加入一些自己的理解。
rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
tangjieReport
Presentation at Tang Jie's Lab
YLearn
YLearn, a pun of "learn why", is a python package for causal inference