Alternatives and similar repositories for STUNT

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

• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆201Updated 3 weeks ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆85Updated last year
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆151Updated 5 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆150Updated 3 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆56Updated last year
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆123Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• amazon-science / tabsyn
  Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""
  ☆173Updated last year
• sajaddarabi / ContrastiveMixup
  ☆19Updated 2 years ago
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆23Updated 2 years ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆305Updated last year
• lemeln / nam
  Neural Additive Models (Google Research)
  ☆30Updated last year
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆202Updated 8 months ago
• tennisonliu / GOGGLE
  ☆28Updated 2 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆195Updated 2 years ago
• donalee / DeepMCDD
  Multi-class Data Description for Out-of-distribution Detection
  ☆21Updated 4 years ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆172Updated last year
• archon159 / SELOR
  ☆40Updated 2 years ago
• pfnet-research / TabCSDI
  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"
  ☆56Updated last year
• LARS-research / TabGNN
  ☆51Updated 4 years ago
• trevor-richardson / MCFlow
  Monte Carlo Flow Models for Data Imputation
  ☆19Updated 5 years ago
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆457Updated 3 years ago
• JayoungKim408 / STaSy
  Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023
  ☆32Updated 2 years ago
• BingzhaoZhu / XTab
  ☆38Updated 2 years ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 5 months ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆282Updated 2 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆88Updated 2 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 3 years ago
• ChaejeongLee / CoDi
  Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023
  ☆36Updated last year
• changdaeoh / FarconVAE
  Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
  ☆23Updated 3 years ago