Alternatives and similar repositories for gosdt-guesses

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

• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆128Updated 2 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆282Updated 2 weeks ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated last year
• yromano / cqr
  Conformalized Quantile Regression
  ☆298Updated 3 years ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆70Updated last year
• snedelkoski / opentab
  An open, end-to-end implementation of TabPFN-like foundation models, covering synthetic priors/data, training, and evaluation on TabArena…
  ☆19Updated this week
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆268Updated 3 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆159Updated 2 weeks ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆196Updated 2 years ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆43Updated 3 years ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆299Updated 2 years ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆44Updated last year
• Ci2Lab / Applied_Causal_Inference_Course
  This course is an overview of applied causal inference.
  ☆56Updated 7 months ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• givasile / effector
  Effector - a Python package for global and regional effect methods
  ☆117Updated last month
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆110Updated 3 weeks ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated 2 months ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆18Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆281Updated 2 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆233Updated last year
• 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 3 years ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆138Updated 4 months ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆68Updated last year
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆69Updated 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 8 months ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆366Updated last month