wwweiwei / awesome-self-supervised-learning-for-tabular-data
A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
☆183Updated last month
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
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆148Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆144Updated 2 years ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆76Updated last year
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆245Updated 4 months ago
- ☆146Updated 11 months ago
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆185Updated last week
- A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.☆32Updated 2 weeks ago
- A framework for prototyping and benchmarking imputation methods☆177Updated last year
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆343Updated 3 months ago
- ☆473Updated 7 months ago
- Experiments on Tabular Data Models☆274Updated last year
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆54Updated last year
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆89Updated 10 months ago
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆130Updated 8 months ago
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆60Updated 9 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆81Updated 2 years ago
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆287Updated 4 months ago
- ☆69Updated 2 weeks ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆65Updated 4 months ago
- ☆13Updated 3 weeks ago
- ☆26Updated 2 years ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆418Updated 3 years ago
- ☆65Updated last year
- A benchmark for distribution shift in tabular data☆50Updated 9 months ago
- ☆33Updated 2 years ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆40Updated 3 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆111Updated last year
- Tabular Deep Learning Library for PyTorch☆636Updated this week