Alternatives and similar repositories for calibrated_explanations

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

• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 3 weeks ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆114Updated 3 weeks ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆100Updated 3 weeks ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆242Updated last week
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 8 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆49Updated 3 years ago
• tblume1992 / MFLES
  ☆115Updated last year
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆224Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆51Updated last week
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆349Updated 4 months ago
• ran-xie / boosted-conformal
  ☆40Updated 9 months ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last month
• harrisp / GPyConform
  ☆49Updated 3 weeks ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆192Updated last month
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆116Updated 5 months ago
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆535Updated 2 weeks ago
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆22Updated 8 months ago
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆19Updated last year
• xRiskLab / pearsonify
  Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…
  ☆22Updated 4 months ago
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated 2 years ago
• 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
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 2 weeks ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆45Updated 2 months ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆118Updated 7 months ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year