Alternatives and similar repositories for ml-calibration

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

• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆366Updated last month
• dholzmueller / probmetrics
  Classification metrics and post-hoc calibration
  ☆46Updated this week
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆71Updated last week
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆438Updated 2 months ago
• 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
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 3 months ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆103Updated 10 months ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆272Updated 4 months ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆174Updated last year
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆227Updated last year
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆176Updated last year
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆549Updated 3 months ago
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆168Updated last week
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆275Updated last month
• tunguz / TabularBenchmarks
  ☆203Updated 2 months ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆75Updated 2 years ago
• layer6ai-labs / TabDPT-inference
  Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"
  ☆68Updated 3 weeks ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆379Updated last week
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated 2 years ago
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆161Updated 5 months ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆99Updated 3 weeks ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆67Updated 3 months ago
• autogluon / fev
  Forecast evaluation library
  ☆136Updated this week
• ran-xie / boosted-conformal
  ☆41Updated last year
• vincentblot28 / conformalized_gp
  ☆48Updated last year
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆177Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• microsoft / goodpoints
  A Python package for generating concise, high-quality summaries of a probability distribution
  ☆57Updated 2 months ago