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
  ☆786Updated 5 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆584Updated 6 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆249Updated 2 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆266Updated last year
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆797Updated 7 months ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆572Updated 5 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
  ☆1,331Updated 3 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated 3 weeks ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆480Updated 2 years ago
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 4 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆231Updated 11 months ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆741Updated 3 years ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆248Updated 3 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• bd2kccd / py-causal
  ☆204Updated 2 years ago
• logangraham / arXausality
  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
  ☆415Updated 5 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 6 months ago
• microsoft / causica
  ☆511Updated 11 months ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆273Updated 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…
  ☆340Updated last year
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆422Updated 2 years ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,063Updated last week
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,206Updated last month
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆244Updated 3 years ago
• akelleh / causality
  Tools for causal analysis
  ☆1,076Updated 8 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆675Updated last week
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆655Updated last year
• ronikobrosly / causal-curve
  A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
  ☆280Updated last year