Alternatives and similar repositories for tabular-dl-pretrain-objectives

Users that are interested in tabular-dl-pretrain-objectives are comparing it to the libraries listed below

• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆147Updated 3 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆279Updated 2 years ago
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆101Updated 2 years ago
• sbadirli / GrowNet
  ☆205Updated 3 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆87Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• jrzaurin / tabulardl-benchmark
  Benchmark tabular Deep Learning models against each other and other non-DL techniques
  ☆57Updated 4 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆82Updated 4 months ago
• IBM / TabFormer
  Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
  ☆351Updated last month
• yandex-research / tabular-dl-tabr
  The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
  ☆306Updated 11 months ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆169Updated last year
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆65Updated last year
• ptuls / tabnet-modified
  Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
  ☆62Updated 2 years ago
• LeoGrin / tabular-benchmark
  ☆492Updated last year
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆452Updated 3 years ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆382Updated 6 months ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆216Updated last year
• lucidrains / ETSformer-pytorch
  Implementation of ETSformer, state of the art time-series Transformer, in Pytorch
  ☆156Updated 2 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆149Updated 5 years ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆93Updated 4 months ago
• CVxTz / DeepTabular
  ☆37Updated 5 years ago
• fidelity / selective
  [AMAI 2024] Selective: Feature Selection Library
  ☆68Updated last month
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆199Updated 8 months ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆74Updated 2 years ago
• yandex-research / GBDT-uncertainty
  ☆58Updated last year
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆31Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆189Updated last year
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆84Updated last year
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆84Updated 2 years ago