yandex-research / rtdl-revisiting-modelsLinks
(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
☆274Updated 9 months ago
Alternatives and similar repositories for rtdl-revisiting-models
Users that are interested in rtdl-revisiting-models 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
- Research on Tabular Deep Learning: Papers & Packages☆1,028Updated 9 months ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆81Updated last year
- ☆484Updated last year
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆377Updated 4 months ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆963Updated 6 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆163Updated last year
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆442Updated 3 years ago
- Experiments on Tabular Data Models☆278Updated 2 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆149Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆145Updated 3 years ago
- A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.☆40Updated 5 months ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆45Updated 3 years ago
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆64Updated last year
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆196Updated 5 months ago
- A framework for prototyping and benchmarking imputation methods☆194Updated 2 years ago
- (AAAI 2023 oral) Original implementation and experiment results of T2G-FORMER☆38Updated last year
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆473Updated last year
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆77Updated 2 months ago
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆301Updated 9 months ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Repository of Transformer based PyTorch Time Series Models☆308Updated 9 months ago
- Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks☆166Updated last year
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆386Updated 3 months ago
- Code for finetuning TabPFN on one downstream tabular dataset.☆75Updated 3 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- Feature selection in neural networks☆240Updated 11 months ago
- A standard framework for modelling Deep Learning Models for tabular data☆1,558Updated this week
- A universal time series representation learning framework☆736Updated 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