tab-transformer-pytorch
routing-transformer
| tab-transformer-pytorch | routing-transformer | |
|---|---|---|
| 1 | 1 | |
| 704 | 269 | |
| - | - | |
| 4.5 | 0.0 | |
| 6 months ago | over 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
routing-transformer
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Will Transformers Take over Artificial Intelligence?
I would recommend Routing Transformer https://github.com/lucidrains/routing-transformer but the real truth is nothing beats full attention. Luckily, someone recently figured out how to get past the memory bottleneck. https://github.com/lucidrains/memory-efficient-attention-pyt...
What are some alternatives?
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
memory-efficient-attention-pytorch - Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"
Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
enformer-pytorch - Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Linear-Multihead-Attention - Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
memory-efficient-attention-pyt
perceiver-pytorch - Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
HTM-pytorch - Implementation of Hierarchical Transformer Memory (HTM) for Pytorch
Compact-Transformers - Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)