Alternatives and similar repositories for CausalInferenceIntro

Users that are interested in CausalInferenceIntro are comparing it to the libraries listed below

• DSXiangLi / Paper_CausalInference_abtest
  因果推理&AB实验相关论文小书库
  ☆240Updated 2 years ago
• xieliaing / Data_Science_Industrial_Practice
  《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。
  ☆148Updated 4 years ago
• Serena-TT / 36-methods-for-data-analysis
  ☆40Updated 4 years ago
• DataCanvasIO / YLearn
  YLearn, a pun of "learn why", is a python package for causal inference
  ☆429Updated 4 months ago
• ZSCDumin / causal-inference-books
  因果推断相关论文、书籍
  ☆54Updated 4 years ago
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆79Updated 3 years ago
• JackHCC / 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】
  ☆149Updated 2 years ago
• Wenzhe-Huang / python-causality-handbook-zh
  中文翻译版 | Causal Inference for the Brave and True：使用 Python 学习因果推断的轻松指南
  ☆35Updated 3 weeks ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆741Updated 2 years ago
• matteocourthoud / awesome-causal-inference
  A curated list of causal inference libraries, resources, and applications.
  ☆1,065Updated 6 months ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,484Updated 2 weeks ago
• kwaiDA / KwaiSurvival
  ☆72Updated 4 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆163Updated 2 years ago
• claudiashi57 / dragonnet
  ☆285Updated 3 years ago
• matheusfacure / python-causality-handbook
  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
  ☆3,108Updated last month
• rphilipzhang / AI-PhD-S24
  Mono repo for the PhD course AI for Business Research (DSME 6635, S24)
  ☆109Updated 10 months ago
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆98Updated last year
• rphilipzhang / AI-PhD-S25
  Mono-repo for the PhD course AI for Business Research (DOTE 6635, S25)
  ☆89Updated 2 months ago
• amphibian-dev / toad
  ESC Team's credit scorecard tools.
  ☆514Updated this week
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆341Updated last year
• huiyang-yi / 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
  ☆33Updated 4 months ago
• taptapon / practice_of_intelligent_risk_control
  《智能风控实践指南：从模型、特征到决策》代码。 《智能风控实践指南：从模型、特征到决策》书籍配套Python代码。
  ☆120Updated 3 years ago
• GoudetOlivier / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆17Updated 6 years ago
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆118Updated 2 years ago
• lei940324 / econometrics
  陈强高级计量经济学笔记，使用python、matlab实现各模型估计
  ☆134Updated 5 years ago
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆347Updated last year
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• luwill / Machine_Learning_Code_Implementation
  Mathematical derivation and pure Python code implementation of machine learning algorithms.
  ☆1,539Updated last year
• CausalAI / what-if
  教材 Causal Inference: What if 的编译和解读！
  ☆27Updated 5 years ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆24Updated 2 years ago