A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
☆212Apr 13, 2026Updated this week
Alternatives and similar repositories for awesome-self-supervised-learning-for-tabular-data
Users that are interested in awesome-self-supervised-learning-for-tabular-data are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆93Mar 17, 2024Updated 2 years ago
- Unofficial repo for SubTab with additional code and data for Adult Income and BlogFeedback datasets. BlogFeedback data is attached as zip…☆10Jun 24, 2022Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆156Oct 26, 2020Updated 5 years ago
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆60Mar 25, 2023Updated 3 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆151Jul 1, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆109Jul 9, 2025Updated 9 months ago
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆215Mar 13, 2025Updated last year
- A unified framework for Deep Learning Models on tabular data☆1,648Mar 24, 2026Updated 3 weeks ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆179Mar 22, 2024Updated 2 years ago
- Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data☆424Apr 6, 2026Updated last week
- Official implementation of "Seeing is Understanding: Unlocking Causal Attention into Modality-Mutual Attention for Multimodal LLMs"☆20May 23, 2025Updated 10 months ago
- A benchmark of meaningful graph datasets with tabular node features☆14Oct 29, 2025Updated 5 months ago
- [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction☆68Jul 12, 2024Updated last year
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆323Nov 17, 2025Updated 4 months ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Tabular Deep Learning Library for PyTorch☆777Apr 6, 2026Updated last week
- Official Implementation for ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton (AA…☆31Nov 23, 2022Updated 3 years ago
- ☆15May 19, 2025Updated 10 months ago
- ☆19Feb 28, 2025Updated last year
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆465Dec 6, 2021Updated 4 years ago
- ☆55Jan 10, 2023Updated 3 years ago
- Research on Tabular Deep Learning: Papers & Packages☆1,120Nov 13, 2024Updated last year
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆410Apr 16, 2025Updated 11 months ago
- The implementation codes of the paper "Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains"☆24Jul 3, 2025Updated 9 months ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Experiments on Tabular Data Models☆279May 25, 2023Updated 2 years ago
- A repo for transfer learning with deep tabular models☆103Feb 15, 2023Updated 3 years ago
- DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dist…☆296Mar 3, 2026Updated last month
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,071Jan 8, 2026Updated 3 months ago
- ☆51Aug 11, 2024Updated last year
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,932Oct 23, 2024Updated last year
- Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates☆25Sep 11, 2023Updated 2 years ago
- ☆506Aug 18, 2024Updated last year
- A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 dive…☆835Mar 20, 2026Updated 3 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆23Feb 14, 2023Updated 3 years ago
- A benchmark for distribution shift in tabular data☆62Jun 6, 2024Updated last year
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆331Nov 12, 2024Updated last year
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Jun 30, 2023Updated 2 years ago
- Research on Tabular Foundation Models☆71Dec 13, 2024Updated last year
- ☆16May 5, 2022Updated 3 years ago
- ☆13Feb 24, 2025Updated last year