Alternatives and similar repositories for venn-abers

Users that are interested in venn-abers are comparing it to the libraries listed below

• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆233Updated last week
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆67Updated last month
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆111Updated 2 months ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆217Updated last year
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆336Updated last month
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆511Updated 2 weeks ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆181Updated 2 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last week
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆242Updated 2 weeks ago
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆48Updated this week
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆48Updated 3 years ago
• harrisp / GPyConform
  ☆49Updated 7 months ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 5 months ago
• ran-xie / boosted-conformal
  ☆39Updated 6 months ago
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆22Updated 4 months ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆79Updated 2 weeks ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆73Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆194Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated last year
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆30Updated this week
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆19Updated last year
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆159Updated 2 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆271Updated 2 weeks ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆412Updated last year
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆319Updated last year
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆163Updated last week
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆50Updated last year
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆76Updated 3 weeks ago