Alternatives and similar repositories for ExcelFormer:

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

• naszilla / tabzilla
  ☆134Updated 9 months ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆231Updated 2 months ago
• jyansir / t2g-former
  (AAAI 2023 oral) Original implementation and experiment results of T2G-FORMER
  ☆32Updated 10 months ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆169Updated last month
• pytabular-ai / auto-scikit-dl
  An automatic deep tabular learning package
  ☆13Updated last year
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆143Updated 2 years ago
• WhatAShot / DANet
  DANets (a family of neural networks) for tabular data classification/ regression.
  ☆39Updated 2 years ago
• 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 10 months ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago
• vcherepanova / tabular-feature-selection
  Repository for the feature selection with tabular models
  ☆62Updated last year
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆81Updated last year
• BingzhaoZhu / XTab
  ☆33Updated last year
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆100Updated last year
• yandex-research / tabred
  TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆61Updated 2 months ago
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆184Updated 6 months ago
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆52Updated 6 months ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆60Updated this week
• ersilia-os / chempfn
  Ensemble-based, size-agnostic wrapper for the TabPFN classifier
  ☆29Updated 7 months ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆88Updated 4 months ago
• AI-sandbox / HyperFast
  ☆67Updated last month
• LARS-research / TabGNN
  ☆48Updated 3 years ago
• ZhangTP1996 / TapTap
  ☆64Updated last year
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆66Updated 3 years ago
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆53Updated last year
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆271Updated last year
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆42Updated last year
• autogluon / tabrepo
  ☆44Updated this week
• Roytsai27 / awesome-GNN4TDL
  Graph Neural Networks for Tabular Data Learning (GNN4TDL)
  ☆87Updated 8 months ago
• aigc-apps / AMFormer
  The AMFormer algorithm, accepted at AAAI-2024, for deep tabular learning
  ☆29Updated 6 months ago