tab-transformer-pytorch
tabnet
| tab-transformer-pytorch | tabnet | |
|---|---|---|
| 1 | 8 | |
| 704 | 2,497 | |
| - | 1.4% | |
| 4.5 | 4.8 | |
| 6 months ago | 3 months 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
tabnet
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Time series data into a CNN
There's architectures that operate on tabular data from a few years back now that uses CNN's and self attention. .look at tabnet for inspiration: https://github.com/dreamquark-ai/tabnet
- [P] Stable Diffusion in Tensorflow / Keras
- [D] Opinions about TabNet
- Deep Learning Models to do Regression on a Tabular Data
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Tried so many different models but cant get good accuracy
I tried some other projects like [tabnet](https://github.com/dreamquark-ai/tabnet) they are also yielding *decent* results, but not more than 0.64.
- [P] pytorch-widedeep v1.0.9: the Perceiver and the FastFormer for tabular data are now available in the library
- [D] Why Neural Networks for tabular data are bad?
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Feature Importance in Multiclass problems
Are you solving a tabular problem? If it is so, you can use TabNet to plot them. It also supports multiclass and multilabel.
What are some alternatives?
Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
autogluon - Fast and Accurate ML in 3 Lines of Code
routing-transformer - Fully featured implementation of Routing Transformer
Linear-Multihead-Attention - Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.
perceiver-pytorch - Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
ExtractTable-py - Python library to extract tabular data from images and scanned PDFs
HTM-pytorch - Implementation of Hierarchical Transformer Memory (HTM) for Pytorch
torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.