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
  ☆43Updated 2 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆61Updated this week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆143Updated 5 months ago
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆41Updated this week
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆28Updated this week
• ran-xie / boosted-conformal
  ☆37Updated last month
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆27Updated last year
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated last year
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆42Updated 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…
  ☆100Updated 2 years ago
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆15Updated 8 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆105Updated this week
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• harrisp / GPyConform
  ☆47Updated 2 months ago
• pharmbio / plot_utils
  Repo that groups utility functions for e.g. plotting of Conformal prediction metrics
  ☆16Updated last year
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆50Updated 3 weeks ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆109Updated 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
  ☆91Updated this week
• vincentblot28 / conformalized_gp
  ☆46Updated last month
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆30Updated 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
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆20Updated this week
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆19Updated 10 months ago
• WojtekFulmyk / mlcausality-krr-paper-replication
  Replication code for the paper "Nonlinear Granger Causality using Kernel Ridge Regression" that introduces and highlights the usage of ml…
  ☆22Updated last year
• EtashGuha / R2CCP
  ☆20Updated 10 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆222Updated 3 weeks ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated last year
• tblume1992 / MFLES
  ☆114Updated last year