Alternatives and similar repositories for active-bayesian-causal-inference

Users that are interested in active-bayesian-causal-inference are comparing it to the libraries listed below

• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 8 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆145Updated last week
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆106Updated last month
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆89Updated 5 months ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆44Updated 8 months ago
• boschresearch / causalAssembly
  ☆30Updated 3 weeks 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 4 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆57Updated last month
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 5 months ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆75Updated 2 years ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆244Updated last month
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆72Updated this week
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆77Updated 4 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆265Updated last month
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated 3 months ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆128Updated 5 months ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆66Updated 7 months ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated last year
• rguo12 / KDD24-Conformal
  Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)
  ☆10Updated last year
• 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
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆226Updated 2 months ago
• zecevic-matej / SMLW-Causality-Tutorial
  Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…
  ☆22Updated 3 years ago
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• vincentblot28 / conformalized_gp
  ☆48Updated 8 months ago
• aangelopoulos / prediction-powered-inference
  A statistical toolkit for scientific discovery using machine learning
  ☆80Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆115Updated 4 months ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆303Updated 4 months ago
• csquires / 6.S091-causality
  ☆189Updated 2 years ago