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
  ☆49Updated 3 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆189Updated 2 months 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
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆31Updated this week
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆241Updated this week
• pharmbio / plot_utils
  Repo that groups utility functions for e.g. plotting of Conformal prediction metrics
  ☆16Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆115Updated 4 months ago
• 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
• ran-xie / boosted-conformal
  ☆39Updated 8 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• tblume1992 / MFLES
  ☆115Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆48Updated this week
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• Quilograma / ConformalPredictionTutorial
  ☆42Updated 3 years ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 7 months ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last month
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆115Updated 5 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆112Updated 4 months ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆223Updated last year
• vincentblot28 / conformalized_gp
  ☆48Updated 8 months ago
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆517Updated 2 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆346Updated 3 months ago