Alcoholrithm / TabularS3LLinks
A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
☆40Updated 5 months ago
Alternatives and similar repositories for TabularS3L
Users that are interested in TabularS3L are comparing it to the libraries listed below
Sorting:
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆196Updated 6 months ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆149Updated 4 years ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆274Updated 9 months ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆77Updated 2 months ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆81Updated last year
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆377Updated 4 months ago
- ☆484Updated last year
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆196Updated 5 months ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆145Updated 3 years ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆163Updated last year
- ☆61Updated 4 years ago
- A framework for prototyping and benchmarking imputation methods☆194Updated 2 years ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆75Updated 3 years ago
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆301Updated 9 months ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆442Updated 3 years ago
- ☆27Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆474Updated last year
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆58Updated 2 years ago
- Official GitHub for CTAB-GAN+☆77Updated last year
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Experiments on Tabular Data Models☆278Updated 2 years ago
- A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"☆53Updated last year
- A benchmark for distribution shift in tabular data☆55Updated last year
- Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"☆30Updated last year
- Repository of the ICML 2020 paper "Set Functions for Time Series"☆126Updated 4 years ago
- Critical difference diagram with Wilcoxon-Holm post-hoc analysis.☆289Updated 3 years ago
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆160Updated last year
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆59Updated 2 years ago
- Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)☆345Updated 2 years ago