ogunlao / saint
Unofficial Pytorch implementation of SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pretraining https://arxiv.org/abs/2106.01342
☆26Updated last year
Alternatives and similar repositories for saint
Users that are interested in saint are comparing it to the libraries listed below
Sorting:
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- Experiments on Tabular Data Models☆277Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- ☆51Updated 2 years ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆427Updated 3 years ago
- ☆155Updated last year
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆98Updated 2 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆77Updated last year
- Sample code related to SnapBoost associated with NeurIPS 2020 publication.☆9Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆144Updated 2 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆147Updated 4 years ago
- Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"☆62Updated 2 years ago
- ☆37Updated 3 years ago
- A framework for prototyping and benchmarking imputation methods☆183Updated 2 years ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆70Updated last month
- A Natural Language Interface to Explainable Boosting Machines☆66Updated 10 months ago
- ☆10Updated 4 years ago
- A novel approach for synthesizing tabular data using pretrained large language models☆310Updated this week
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆85Updated 2 years ago
- ☆199Updated last week
- TensorFlow implementation of TabTransformer☆82Updated 2 years ago
- ☆478Updated 9 months ago
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆291Updated 6 months ago
- This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift☆29Updated 3 years ago
- TabDPT: Scaling Tabular Foundation Models☆27Updated 3 weeks ago
- A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.☆33Updated 2 months ago
- ☆26Updated 5 years ago
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆133Updated 2 months ago