Alternatives and similar repositories for causal-falsify

Users that are interested in causal-falsify are comparing it to the libraries listed below

• 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 5 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated last year
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated last year
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆49Updated this week
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated last year
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆80Updated 3 weeks ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆64Updated 3 weeks ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆46Updated 4 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆29Updated last week
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated 2 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆37Updated 2 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆113Updated 3 months ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 3 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆71Updated last week
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 6 months ago
• pymc-devs / pymc-bart
  ☆134Updated 2 weeks ago
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆33Updated 2 years ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated last month
• assuncaolfi / savvi
  A package for Safe Anytime Valid Inference
  ☆26Updated last year
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆62Updated 3 weeks ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆39Updated last week
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated last year
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 2 months ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated last week