Alternatives and similar repositories for pywhy-graphs:

Users that are interested in pywhy-graphs are comparing it to the libraries listed below

• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆98Updated 2 weeks ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆27Updated 2 months ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆55Updated 2 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆80Updated 3 months ago
• 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 year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆54Updated 7 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆120Updated this week
• amazon-science / azcausal
  Causal Inference in Python
  ☆41Updated 2 months ago
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆54Updated last year
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆80Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆220Updated 3 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆49Updated 3 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆136Updated 7 months ago
• causalvis / causalvis
  ☆42Updated 6 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆72Updated 3 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆56Updated 9 months ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆72Updated this week
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆68Updated this week
• pymc-devs / pymc-bart
  ☆105Updated this week
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆66Updated last year
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆50Updated this week
• Ashkan-Soleymani98 / CORTH-Features-Causal-Feature-Selection-via-Orthogonal-Search
  ☆11Updated 2 years ago
• VectorInstitute / Causal_Inference_Laboratory
  ☆18Updated last year
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆76Updated 9 months ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆84Updated this week
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆63Updated last month
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆59Updated 7 months ago