Alternatives and similar repositories for awesome-causal-inference

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

• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆603Updated this week
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆723Updated 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.
  ☆2,981Updated 6 months ago
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆321Updated last year
• PacktPublishing / Causal-Inference-and-Discovery-in-Python
  Causal Inference and Discovery in Python by Packt Publishing
  ☆892Updated last month
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆469Updated last year
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,009Updated this week
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆253Updated 7 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 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…
  ☆329Updated 8 months ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆782Updated 2 months ago
• scunning1975 / mixtape
  Data and Program files for Causal Inference: The Mixtape
  ☆424Updated 3 months ago
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,312Updated 3 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆265Updated last year
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆122Updated 3 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆184Updated last year
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆165Updated last year
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆766Updated this week
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆99Updated 2 months ago
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆443Updated 2 months ago
• microsoft / causica
  ☆494Updated 6 months ago
• Mixtape-Sessions / Causal-Inference-1
  Causal Inference 1 Mixtape Session taught by Scott Cunningham
  ☆285Updated 2 months ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆21Updated this week
• synth-inference / synthdid
  Synthetic difference in differences
  ☆285Updated last year
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆577Updated 5 years ago
• py-why / EconML
  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…
  ☆4,166Updated last week
• gsbDBI / ExperimentData
  ☆234Updated 2 years ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,385Updated this week
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆160Updated last year
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆236Updated last week