Alternatives and similar repositories for GPyConform

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

• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆115Updated 2 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 2 months ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆194Updated last month
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆51Updated last week
• ran-xie / boosted-conformal
  ☆41Updated last year
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆227Updated last year
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆23Updated 10 months ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆33Updated last month
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated last month
• vincentblot28 / conformalized_gp
  ☆48Updated 11 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆250Updated last week
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 7 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆86Updated 5 months ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆365Updated 3 weeks ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 10 months ago
• ZitongYang / bellman-conformal-inference
  Python implementation for Bellman Conformal Inference algorithm for time series forecasting.
  ☆24Updated last year
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆550Updated 2 months ago
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆279Updated 4 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
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆142Updated 10 months ago
• xRiskLab / pearsonify
  Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…
  ☆23Updated 6 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆158Updated this week
• gmgeorg / pyforeca
  Forecastable Component Analysis (ForeCA) in Python
  ☆34Updated last month
• 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…
  ☆23Updated 2 years ago
• ostojanovic / causalML
  ☆33Updated last year
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆94Updated last month