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.
  ☆402Updated this week
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆336Updated last month
• autogluon / tabrepo
  A Living Benchmark for Machine Learning on Tabular Data
  ☆94Updated this week
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆217Updated last year
• microsoft / ticl
  Tabular In-Context Learning
  ☆78Updated 4 months ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆125Updated this week
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆133Updated 3 months ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆162Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆165Updated 10 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆67Updated last month
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆246Updated last month
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 2 years ago
• ran-xie / boosted-conformal
  ☆39Updated 6 months ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆67Updated 2 years ago
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆510Updated 2 weeks ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆92Updated 2 weeks ago
• dholzmueller / probmetrics
  Classfication metrics and post-hoc calibration
  ☆29Updated 2 weeks ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆48Updated 3 years ago
• layer6ai-labs / TabDPT-inference
  TabDPT: Scaling Tabular Foundation Models on Real Data
  ☆33Updated this week
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆159Updated 11 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆114Updated 2 months ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆60Updated 4 months ago
• tunguz / TabularBenchmarks
  ☆201Updated 2 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆73Updated last year
• harrisp / GPyConform
  ☆49Updated 7 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆279Updated 3 years ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆79Updated 2 weeks ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆173Updated last year
• autogluon / fev
  Forecast evaluation library
  ☆85Updated last week