GatedTabTransformer
ktrain
| GatedTabTransformer | ktrain | |
|---|---|---|
| 4 | 2 | |
| 91 | 1,213 | |
| - | - | |
| 0.0 | 8.4 | |
| over 1 year ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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GatedTabTransformer
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[R] [P] Statically parameterized gated MLPs help TabTransformer-like architecture to achieve state-of-the-art benchmarks for deep learning-based tabular modeling.
GitHub: https://github.com/radi-cho/GatedTabTransformer Report: https://paperswithcode.com/paper/the-gatedtabtransformer-an-enhanced-deep
- GatedTabTransformer: State-of-the-art for deep learning tabular classification
- [R] GatedTabTransformer: State-of-the-art for tabular classification
- GitHub - radi-cho/GatedTabTransformer: A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
ktrain
- Use TensorFlow to run basic regressions like Google AutoML (tabular)
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Increase accuracy of NLP sentiment analysis?
Could be the last resort: pre-trained transformers through ktrain (ktrain has very detailed tutorials and examples)
What are some alternatives?
deltapy - DeltaPy - Tabular Data Augmentation (by @firmai)
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