Alternatives and similar repositories for shapiq

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

• henrikbostrom / crepes
  Python package for conformal prediction
  ☆511Updated 3 weeks ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆336Updated last month
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,435Updated last week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆165Updated 10 months ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆217Updated last year
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆242Updated 3 weeks ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆233Updated last week
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆181Updated 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
  ☆111Updated 2 months ago
• probabl-ai / skore
  𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation re…
  ☆508Updated this week
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆402Updated last week
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆197Updated 3 weeks ago
• awslabs / fortuna
  A Library for Uncertainty Quantification.
  ☆917Updated 2 months ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆125Updated last week
• valeman / Transformers_And_LLM_Are_What_You_Dont_Need
  The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfo…
  ☆714Updated 2 weeks ago
• google-deepmind / uncertain_ground_truth
  Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…
  ☆650Updated last year
• autogluon / tabrepo
  A Living Benchmark for Machine Learning on Tabular Data
  ☆97Updated this week
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆246Updated last month
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆384Updated 11 months ago
• scikit-learn-contrib / qolmat
  A scikit-learn-compatible module for comparing imputation methods.
  ☆137Updated 2 months ago
• aangelopoulos / conformal-prediction
  Lightweight, useful implementation of conformal prediction on real data.
  ☆912Updated 3 weeks ago
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆134Updated 3 months ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆79Updated 2 weeks ago
• givasile / effector
  Effector - a Python package for global and regional effect methods
  ☆112Updated this week
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆67Updated last month
• LeoGrin / tabular-benchmark
  ☆483Updated 10 months ago
• tunguz / TabularBenchmarks
  ☆201Updated 2 months ago
• OpenTabular / DeepTabular
  Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…
  ☆239Updated 2 weeks ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆163Updated 2 weeks ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆600Updated 7 months ago