Alternatives and similar repositories for pytabkit

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

• yandex-research / tabm
  (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
  ☆867Updated 3 weeks ago
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆143Updated last week
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆234Updated last week
• PriorLabs / tabpfn-extensions
  Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
  ☆217Updated this week
• OpenTabular / DeepTab
  DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dist…
  ☆276Updated last week
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆345Updated last week
• PriorLabs / tabpfn-time-series
  Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
  ☆311Updated last week
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 8 months ago
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆642Updated last week
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆173Updated last year
• LeoGrin / tabular-benchmark
  ☆500Updated last year
• microsoft / ticl
  Tabular In-Context Learning
  ☆94Updated 9 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated last month
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆250Updated last week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 2 months ago
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆160Updated 3 months ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆386Updated 7 months ago
• dholzmueller / realmlp-td-s_standalone
  Standalone implementation of RealMLP-TD-S and its data preprocessing for tabular data classification and regression
  ☆29Updated last year
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆548Updated last month
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆357Updated last week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆114Updated 2 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆398Updated last month
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆436Updated last month
• yandex-research / tabular-dl-tabr
  The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
  ☆311Updated 2 weeks ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆282Updated 2 years ago
• LennartPurucker / finetune_tabpfn_v2
  Code for finetuning TabPFN on one downstream tabular dataset.
  ☆78Updated 2 months ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆308Updated last year
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆670Updated 2 weeks ago
• dmbeaglehole / xRFM
  xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
  ☆32Updated last week
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆617Updated last year