yandex-research / rtdl-num-embeddings
(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
☆312Updated last week
Related projects ⓘ
Alternatives and complementary repositories for rtdl-num-embeddings
- Research on Tabular Deep Learning: Papers & Packages☆902Updated last week
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆212Updated last week
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆270Updated last week
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆402Updated 2 years ago
- ☆455Updated 3 months ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆811Updated 11 months ago
- Experiments on Tabular Data Models☆270Updated last year
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆62Updated 2 years ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆56Updated this week
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆160Updated last month
- ☆191Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆147Updated 4 years ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆483Updated 3 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆143Updated 2 years ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆73Updated 8 months ago
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆182Updated 4 months ago
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆95Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆79Updated last year
- A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.☆26Updated this week
- Tabular Deep Learning Library for PyTorch☆545Updated this week
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆400Updated 4 months ago
- A framework for prototyping and benchmarking imputation methods☆165Updated last year
- ☆169Updated 5 months ago
- ☆115Updated 7 months ago
- A Tensorflow 2.0 implementation of TabNet.☆239Updated last year
- A repo for transfer learning with deep tabular models☆101Updated last year
- Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)☆325Updated last year
- ☆343Updated 3 years ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆37Updated 2 years ago
- Scikit-learn compatible implementation of the Gauss Rank scaling method☆73Updated last year