tab-transformer-pytorch
rtdl
tab-transformer-pytorch | rtdl | |
---|---|---|
1 | 5 | |
704 | 314 | |
- | - | |
4.5 | 8.9 | |
6 months ago | about 2 years ago | |
Python | Python | |
MIT License | MIT License |
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tab-transformer-pytorch
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[P] pytorch-widedeep v1.0.9: the Perceiver and the FastFormer for tabular data are now available in the library
Code for https://arxiv.org/abs/2012.06678 found: https://github.com/lucidrains/tab-transformer-pytorch
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
What are some alternatives?
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
routing-transformer - Fully featured implementation of Routing Transformer
ArtLine - A Deep Learning based project for creating line art portraits.
Linear-Multihead-Attention - Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
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.
perceiver-pytorch - Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
HTM-pytorch - Implementation of Hierarchical Transformer Memory (HTM) for Pytorch
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning