Alternatives and similar repositories for tabrepo

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

• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆161Updated last month
• microsoft / ticl
  Tabular In-Context Learning
  ☆86Updated 5 months ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆163Updated last year
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆167Updated last month
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆251Updated last week
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆342Updated 2 months ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆93Updated 2 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆169Updated last month
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆69Updated this week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆112Updated 3 months ago
• autogluon / fev
  Forecast evaluation library
  ☆94Updated this week
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆515Updated 2 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆238Updated last week
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆143Updated 2 weeks ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆86Updated 2 months ago
• PriorLabs / tabpfn-time-series
  Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
  ☆255Updated 3 weeks ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆254Updated 3 months ago
• PriorLabs / tabpfn-extensions
  Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
  ☆174Updated this week
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆77Updated 2 months ago
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆607Updated this week
• yromano / cqr
  Conformalized Quantile Regression
  ☆284Updated 3 years ago
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆417Updated last week
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆86Updated 2 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆327Updated 2 weeks ago
• EtashGuha / R2CCP
  ☆22Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆74Updated last year
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆161Updated last year
• yandex-research / tabular-dl-tabr
  The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
  ☆301Updated 9 months ago
• tunguz / TabularBenchmarks
  ☆202Updated 3 months ago