Alternatives and similar repositories for gosdt-guesses:

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

• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆62Updated 11 months ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆35Updated 6 months ago
• ubc-systopia / treeFarms
  Trees FAst RashoMon Sets
  ☆38Updated last month
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆77Updated 4 years ago
• interpretml / fastSparse
  ☆22Updated last year
• AnFreTh / NAMpy
  ☆18Updated 7 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆42Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆143Updated 5 months ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆86Updated 2 years ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆136Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆61Updated last week
• 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
  ☆56Updated 8 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆80Updated 2 months ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆166Updated last year
• yromano / cqr
  Conformalized Quantile Regression
  ☆263Updated 2 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆97Updated last week
• 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…
  ☆100Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆264Updated last week
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆26Updated last month
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆91Updated this week
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆63Updated 10 months ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆83Updated last year
• mateoespinosa / remix
  Rule Extraction Methods for Interactive eXplainability
  ☆43Updated 2 years ago
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆103Updated 8 months ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆53Updated last month
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆43Updated 2 years ago
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆29Updated last year
• s-marton / GradientBasedDecisionTrees
  [AAAI 24] GradTree: Gradient-Based Axis-Aligned Decision Trees
  ☆13Updated 5 months ago