transformer_generalization
rtdl
| transformer_generalization | rtdl | |
|---|---|---|
| 1 | 5 | |
| 65 | 314 | |
| - | - | |
| 0.0 | 8.9 | |
| over 1 year ago | about 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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transformer_generalization
rtdl
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[Project] Improving deep learning for tabular data with numerical embeddings (FT-Transformer)
Found relevant code at https://github.com/yandex-research/rtdl + all code implementations here
- [P] pytorch-widedeep v1.0.9: the Perceiver and the FastFormer for tabular data are now available in the library
- [P] pytorch-widedeep model alert: SAINT and the FT-Transformer are now available in the library
- [R] Revisiting Deep Learning Models for Tabular Data
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tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch
CARL - Benchmarking RL generalization in an interpretable way.
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
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best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
creative-prediction - Creative Prediction with Neural Networks
rtdl-revisiting-models - (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
TabTransformerTF - TensorFlow implementation of TabTransformer