Alternatives and similar repositories for causalML

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

• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆780Updated 3 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆577Updated 5 years ago
• DataForScience / Causality
  ☆467Updated last year
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆472Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆730Updated 2 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆571Updated last month
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆622Updated last week
• microsoft / causica
  ☆497Updated 7 months ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆264Updated 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
  ☆1,314Updated 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…
  ☆331Updated 9 months ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,026Updated this week
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆225Updated 7 months ago
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,185Updated last year
• microsoft / project-azua
  Data Efficient Decision Making
  ☆247Updated 3 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆265Updated this week
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆643Updated 6 months ago
• logangraham / arXausality
  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
  ☆416Updated 4 years ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆529Updated 3 weeks ago
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,351Updated last year
• bd2kccd / py-causal
  ☆204Updated 2 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,425Updated last month
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆641Updated last year
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,432Updated 3 weeks ago
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆422Updated last year
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆292Updated last year
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆436Updated last month