Alternatives and similar repositories for cause2e

Users that are interested in cause2e are comparing it to the libraries listed below

• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆84Updated last year
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆112Updated 2 weeks ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆63Updated 2 weeks ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆156Updated 5 years ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆77Updated this week
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆105Updated 9 months ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated last week
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆231Updated 2 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆249Updated 2 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆235Updated last year
• napsternxg / awesome-causality
  Resources related to causality
  ☆267Updated last year
• microsoft / project-azua
  Data Efficient Decision Making
  ☆250Updated 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
  ☆62Updated 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…
  ☆86Updated 4 years ago
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆62Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆162Updated last month
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆157Updated 2 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆84Updated 7 years ago
• bd2kccd / py-causal
  ☆205Updated 2 years ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆45Updated 4 months ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆31Updated last month
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆63Updated 5 years ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆61Updated 2 weeks ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆287Updated last month
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆809Updated 10 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆112Updated 4 years ago