Alternatives and similar repositories for tabm

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

• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆182Updated last week
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆362Updated 2 months ago
• yandex-research / tabular-dl-tabr
  The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
  ☆296Updated 7 months ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆269Updated 7 months ago
• yandex-research / rtdl
  Research on Tabular Deep Learning: Papers & Packages
  ☆993Updated 7 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆316Updated last year
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆277Updated 2 years ago
• lucidrains / tab-transformer-pytorch
  Implementation of TabTransformer, attention network for tabular data, in Pytorch
  ☆943Updated 3 months ago
• LeoGrin / tabular-benchmark
  ☆482Updated 10 months ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆73Updated 2 weeks ago
• manujosephv / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,536Updated last week
• sb-ai-lab / Py-Boost
  Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training
  ☆181Updated this week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆163Updated 9 months ago
• pyg-team / pytorch-frame
  Tabular Deep Learning Library for PyTorch
  ☆676Updated last week
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆162Updated last year
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆412Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆231Updated this week
• Matt-OP / hillclimbers
  A python module that uses hill climbing to iteratively blend machine learning model predictions.
  ☆54Updated last year
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆509Updated 2 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆135Updated 2 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆208Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆618Updated last year
• autogluon / tabrepo
  Compare and ensemble models without retraining
  ☆64Updated this week
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆432Updated 3 years ago
• autogluon / autogluon-assistant
  Multi-Agent System for End-to-end Multimodal ML Automation
  ☆134Updated last week
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆624Updated last month
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆562Updated this week
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆577Updated last year
• PriorLabs / tabpfn-extensions
  Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
  ☆139Updated last week
• ryancheunggit / tabular_dae
  ☆50Updated 2 years ago