Alternatives and similar repositories for Causality

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

• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆762Updated 10 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆575Updated 5 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆265Updated last year
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,310Updated 3 years ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆779Updated 2 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 4 years ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆236Updated 2 years ago
• bd2kccd / py-causal
  ☆206Updated 2 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• microsoft / causica
  ☆490Updated 5 months ago
• ronikobrosly / causal-curve
  A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
  ☆278Updated last year
• 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…
  ☆328Updated 7 months ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆264Updated this week
• microsoft / project-azua
  Data Efficient Decision Making
  ☆247Updated 2 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆468Updated last year
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,178Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆718Updated 2 years ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆628Updated last year
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last month
• 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
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆597Updated this week
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆271Updated 3 years ago
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆424Updated last year
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆101Updated this week
• py-why / causaltune
  AutoML for causal inference.
  ☆221Updated 5 months ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆423Updated this week
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆139Updated 5 years ago
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆246Updated 3 years ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,001Updated this week