100DaysofMLCode
rtdl
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| 100DaysofMLCode | rtdl | |
|---|---|---|
| 1 | 5 | |
| 303 | 314 | |
| - | - | |
| 0.0 | 8.9 | |
| 8 months ago | about 2 years ago | |
| Jupyter Notebook | Python | |
| MIT License | MIT License |
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100DaysofMLCode
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#100DaysofMLCode Challenge
NishkarshRaj / 100DaysofMLCode
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?
100-Days-Of-ML-Code - 100 Days of ML Coding
tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch
hdbscan - A high performance implementation of HDBSCAN clustering.
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
rmi - A learned index structure
ArtLine - A Deep Learning based project for creating line art portraits.
vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.
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.
GatedTabTransformer - A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
notebooks - Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning