Alternatives and similar repositories for gosdt-guesses

Users that are interested in gosdt-guesses are comparing it to the libraries listed below

• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 8 months ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆274Updated this week
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆66Updated last year
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆265Updated 3 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆265Updated last month
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆127Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆228Updated 8 months ago
• Ci2Lab / Applied_Causal_Inference_Course
  This course is an overview of applied causal inference.
  ☆50Updated 3 months ago
• givasile / effector
  Effector - a Python package for global and regional effect methods
  ☆115Updated last month
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆292Updated last year
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆104Updated last month
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆106Updated 3 weeks ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆40Updated last year
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆343Updated 2 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆169Updated last month
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 2 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years 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
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆155Updated 11 months ago
• ubc-systopia / treeFarms
  Trees FAst RashoMon Sets
  ☆40Updated 3 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated last week
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆143Updated last month
• yromano / cqr
  Conformalized Quantile Regression
  ☆284Updated 3 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆174Updated last year
• dandls / moc
  Multi-Objective Counterfactuals
  ☆42Updated 3 years ago