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"
  ☆45Updated 2 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆109Updated this week
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆158Updated last month
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 11 months ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated last week
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆74Updated this week
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆100Updated 7 months ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆44Updated 2 months ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 9 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆62Updated this week
• 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
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 7 months ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆265Updated last month
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆83Updated 4 years ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆29Updated last month
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆88Updated last year
• aangelopoulos / prediction-powered-inference
  A statistical toolkit for scientific discovery using machine learning
  ☆79Updated last year
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated last month
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 7 months ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆53Updated last month
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆80Updated 2 years ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆308Updated 7 months ago
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆30Updated 2 years ago
• Quilograma / ConformalPredictionTutorial
  ☆42Updated 3 years ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated 2 years ago
• causalincentives / pycid
  Library for graphical models of decision making, based on pgmpy and networkx
  ☆111Updated 2 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆119Updated 2 years ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆295Updated 3 years ago
• vincentblot28 / conformalized_gp
  ☆48Updated 10 months ago
• rguo12 / KDD24-Conformal
  Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)
  ☆10Updated last year