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Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
An index of algorithms for learning causality with data
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Framework for the simulation and estimation of some finite-horizon discrete choice dynamic programming models.
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or margi…
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Demo desktop apps built with Python & Qt. With examples for PyQt6, PySide6, PyQt5 & PySide2
Convert CAJ (China Academic Journals) files to PDF. 转换中国知网 CAJ 格式文献为 PDF。佛系转换，成功与否，皆是玄学。
Examples of algorithms dealing with imbalanced data.
Python code for common Machine Learning Algorithms
Python - 100天从新手到大师
💫 Industrial-strength Natural Language Processing (NLP) in Python
Open source annotation tool for machine learning practitioners.
Recreation of the "Optimal Replacement of GMC Bus Engines" paper by J. Rust, describing a single-agent dynamic optimization model.
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Witiko / markdown
Forked from jgm/lunamark📔 A package for converting and rendering markdown documents in TeX
📖 A bookdown wrapper for ElegantBook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记