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)
  ☆181Updated this week
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆23Updated last year
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆149Updated 4 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆143Updated 2 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
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆50Updated 8 months ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆102Updated 2 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆109Updated last year
• changdaeoh / FarconVAE
  Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
  ☆23Updated 2 years ago
• naszilla / tabzilla
  ☆142Updated 10 months ago
• BingzhaoZhu / XTab
  ☆33Updated 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"
  ☆45Updated 8 months ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆57Updated last year
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 2 years ago
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆52Updated 7 months ago
• lauramanduchi / DC-GMM
  This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
  ☆31Updated 2 years ago
• Chao-Ye / CM2
  ☆13Updated 8 months ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 3 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated last year
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆58Updated 8 months ago
• ChaejeongLee / CoDi
  Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023
  ☆29Updated last year
• sajaddarabi / ContrastiveMixup
  ☆19Updated last year
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆85Updated last year
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆185Updated this week
• ZhangTP1996 / TapTap
  ☆64Updated last year
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆29Updated 2 years ago
• maksym33 / FeatureImportanceDL
  ☆41Updated last year
• sanatonek / time_series_explainability
  ☆59Updated 3 years ago
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆42Updated last year
• MinkaiXu / TabDiff
  [ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
  ☆32Updated this week