Alternatives and similar repositories for VennABERS

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

• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆47Updated 2 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆65Updated last week
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆163Updated 8 months ago
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆48Updated last week
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆30Updated 3 weeks ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆29Updated 2 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆230Updated last month
• ran-xie / boosted-conformal
  ☆39Updated 5 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆112Updated 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…
  ☆100Updated 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
  ☆110Updated last month
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆109Updated 2 months ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆25Updated 3 months ago
• Quilograma / ConformalPredictionTutorial
  ☆42Updated 2 years 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
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆174Updated 2 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• harrisp / GPyConform
  ☆49Updated 5 months ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• vincentblot28 / conformalized_gp
  ☆48Updated 4 months ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• EtashGuha / R2CCP
  ☆22Updated last year
• tblume1992 / MFLES
  ☆115Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆154Updated last year
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆509Updated 2 months ago
• pharmbio / plot_utils
  Repo that groups utility functions for e.g. plotting of Conformal prediction metrics
  ☆16Updated last year