Alternatives and similar repositories for ProRCA

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

• py-why / causaltune
  AutoML for causal inference.
  ☆228Updated 8 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆58Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆143Updated 3 weeks ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆56Updated 2 weeks ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆238Updated last week
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆33Updated last month
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆106Updated 2 weeks ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated last year
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 4 months ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆50Updated 11 months ago
• microsoft / showwhy
  ☆212Updated last year
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated 7 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆69Updated this week
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 10 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 8 months ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆295Updated 3 months ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆44Updated 7 months ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆265Updated 3 weeks ago
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated last year
• ostojanovic / causalML
  ☆33Updated 11 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆112Updated 3 months ago
• amazon-science / causal-forecasting
  ☆14Updated 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).
  ☆60Updated 3 months ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated 2 months ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• Ci2Lab / Applied_Causal_Inference_Course
  This course is an overview of applied causal inference.
  ☆49Updated 2 months ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆221Updated last year
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago