Alternatives and similar repositories for awesome-causal-inference

Users that are interested in awesome-causal-inference are comparing it to the libraries listed below

• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆738Updated 2 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.
  ☆3,058Updated last month
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆646Updated last week
• PacktPublishing / Causal-Inference-and-Discovery-in-Python
  Causal Inference and Discovery in Python by Packt Publishing
  ☆914Updated last week
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆335Updated last year
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,319Updated 3 years ago
• 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…
  ☆337Updated 10 months ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆777Updated 2 months ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆260Updated 10 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆190Updated last year
• scunning1975 / mixtape
  Data and Program files for Causal Inference: The Mixtape
  ☆432Updated 2 months ago
• grf-labs / grf
  Generalized Random Forests
  ☆1,042Updated last month
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆104Updated 5 months ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆260Updated this week
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆476Updated last year
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆172Updated last year
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆209Updated 8 months ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,035Updated last week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆789Updated 5 months ago
• Mixtape-Sessions / Causal-Inference-1
  Causal Inference 1 Mixtape Session taught by Scott Cunningham
  ☆289Updated last month
• microsoft / causica
  ☆499Updated 9 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 2 months ago
• synth-inference / synthdid
  Synthetic difference in differences
  ☆286Updated last year
• aeturrell / coding-for-economists
  This repository hosts the code behind the online book, Coding for Economists.
  ☆856Updated 2 months ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆128Updated 5 months ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆24Updated last week
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆127Updated last year
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆579Updated 5 years ago
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆446Updated 5 months ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,450Updated 2 months ago