Alternatives and similar repositories for SubTab:

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

• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆150Updated 4 years ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆75Updated 11 months ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆184Updated 3 weeks ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆102Updated 2 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆80Updated 2 years ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆273Updated last year
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆185Updated 3 weeks ago
• LARS-research / TabGNN
  ☆49Updated 3 years ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆245Updated 4 months ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆177Updated last year
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆54Updated last year
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆415Updated 3 years ago
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆58Updated 9 months ago
• naszilla / tabzilla
  ☆144Updated 11 months ago
• nd7141 / bgnn
  ☆170Updated 9 months ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆341Updated 3 months ago
• Roytsai27 / awesome-GNN4TDL
  Graph Neural Networks for Tabular Data Learning (GNN4TDL)
  ☆89Updated 10 months ago
• sajaddarabi / ContrastiveMixup
  ☆19Updated last year
• lemeln / nam
  Neural Additive Models (Google Research)
  ☆26Updated 10 months ago
• sanatonek / time_series_explainability
  ☆59Updated 4 years ago
• ryancheunggit / tabular_dae
  ☆52Updated 2 years ago
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆97Updated 2 years ago
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆76Updated 2 years ago
• Alcoholrithm / TabularS3L
  A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
  ☆32Updated last week
• sbadirli / GrowNet
  ☆201Updated 3 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• WhatAShot / DANet
  DANets (a family of neural networks) for tabular data classification/ regression.
  ☆40Updated 3 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆266Updated this week
• yandex-research / tabred
  TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆64Updated 3 months ago