deel-ai / puncc

Related projects ⓘ

Alternatives and complementary repositories for puncc

• henrikbostrom / crepes
  Python package for conformal prediction
  ☆459Updated last month
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆133Updated 2 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆86Updated last month
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆193Updated 10 months ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆134Updated 5 months ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆144Updated 9 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆53Updated this week
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆231Updated this week
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆210Updated this week
• mmschlk / shapiq
  Shapley Interactions for Machine Learning
  ☆220Updated this week
• awslabs / fortuna
  A Library for Uncertainty Quantification.
  ☆892Updated this week
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
  ☆1,302Updated this week
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆206Updated 2 weeks ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆105Updated last year
• harrisp / GPyConform
  ☆46Updated 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
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆180Updated 2 months ago
• deel-ai / influenciae
  👋 Influenciae is a Tensorflow Toolbox for Influence Functions
  ☆56Updated 7 months ago
• deel-ai / xplique
  👋 Xplique is a Neural Networks Explainability Toolbox
  ☆647Updated last month
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆71Updated 9 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆188Updated last year
• scikit-learn-contrib / qolmat
  A scikit-learn-compatible module for comparing imputation methods.
  ☆135Updated 3 weeks ago
• aangelopoulos / conformal-prediction
  Lightweight, useful implementation of conformal prediction on real data.
  ☆788Updated 7 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆200Updated 6 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆275Updated 5 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆369Updated 6 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆118Updated last month
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆248Updated this week
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆160Updated 7 months ago