Alternatives and similar repositories for ml-calibration

Users that are interested in ml-calibration are comparing it to the libraries listed below

• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆423Updated last month
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆348Updated 3 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• autogluon / tabrepo
  A Living Benchmark for Machine Learning on Tabular Data
  ☆125Updated this week
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆224Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆190Updated last week
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆166Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 3 years ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆260Updated 3 weeks ago
• dholzmueller / probmetrics
  Classfication metrics and post-hoc calibration
  ☆37Updated 3 months ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆93Updated 3 months ago
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆519Updated 3 months ago
• autogluon / fev
  Forecast evaluation library
  ☆105Updated last week
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆187Updated last month
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆176Updated last year
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆69Updated 2 years ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆92Updated 6 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆49Updated 3 years ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆163Updated last year
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆64Updated 7 months ago
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆145Updated last month
• tunguz / TabularBenchmarks
  ☆202Updated last week
• ran-xie / boosted-conformal
  ☆40Updated 9 months ago
• layer6ai-labs / TabDPT-inference
  Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"
  ☆58Updated last week
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆372Updated last week
• yromano / cqr
  Conformalized Quantile Regression
  ☆286Updated 3 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 2 years ago
• vincentblot28 / conformalized_gp
  ☆48Updated 8 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆113Updated 5 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆116Updated 5 months ago