somepago / saint
The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
☆411Updated 3 years ago
Alternatives and similar repositories for saint:
Users that are interested in saint are comparing it to the libraries listed below
- Experiments on Tabular Data Models☆271Updated last year
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆330Updated last month
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆848Updated last week
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆150Updated 4 years ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆484Updated 3 years ago
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆276Updated 2 months ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆231Updated 2 months ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆169Updated last month
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆143Updated 2 years ago
- Research on Tabular Deep Learning: Papers & Packages☆935Updated 2 months ago
- ☆465Updated 4 months ago
- ☆197Updated 3 years ago
- A repo for transfer learning with deep tabular models☆100Updated last year
- Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)☆330Updated last year
- ☆134Updated 9 months ago
- A standard framework for modelling Deep Learning Models for tabular data☆1,430Updated this week
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆97Updated last year
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆413Updated 6 months ago
- A Tensorflow 2.0 implementation of TabNet.☆242Updated last year
- Boosted neural network for tabular data☆214Updated 5 months ago
- A framework for prototyping and benchmarking imputation methods☆170Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆81Updated last year
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆75Updated 10 months ago
- CORAL and CORN implementations for ordinal regression with deep neural networks.☆228Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- ☆343Updated 3 years ago
- ☆167Updated 4 years ago
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆184Updated 6 months ago
- ☆49Updated 2 years ago
- Hopular: Modern Hopfield Networks for Tabular Data☆309Updated 2 years ago