Alternatives and similar repositories for VIME

Users that are interested in VIME 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"
  ☆145Updated 2 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆194Updated 4 months ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆77Updated last year
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆269Updated 7 months ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆184Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆277Updated 2 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆86Updated 2 years ago
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆59Updated 2 years ago
• 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
• amramabutbul / DisjunctiveNormalFormNet
  ☆10Updated 4 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 2 years ago
• WhatAShot / DANet
  DANets (a family of neural networks) for tabular data classification/ regression.
  ☆44Updated 3 years ago
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆194Updated 3 months ago
• sbadirli / GrowNet
  ☆203Updated 3 years ago
• Alcoholrithm / TabularS3L
  A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
  ☆36Updated 3 months ago
• CVxTz / DeepTabular
  ☆37Updated 4 years ago
• nd7141 / bgnn
  ☆170Updated last year
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago
• sajaddarabi / ContrastiveMixup
  ☆19Updated 2 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆107Updated 3 years ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆362Updated 2 months ago
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆165Updated last year
• sanatonek / time_series_explainability
  ☆61Updated 4 years ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆126Updated 4 years ago
• yandex-research / tabular-dl-tabr
  The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
  ☆296Updated 7 months ago
• LARS-research / TabGNN
  ☆51Updated 3 years ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆162Updated last year
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆62Updated last year
• IBM / TabFormer
  Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
  ☆338Updated last year