rtdl
pytorch-widedeep
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| rtdl | pytorch-widedeep | |
|---|---|---|
| 5 | 7 | |
| 314 | 1,234 | |
| - | - | |
| 8.9 | 8.5 | |
| about 2 years ago | 7 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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
pytorch-widedeep
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why can't I import pytorch-widedeep ?
Ask the dev https://github.com/jrzaurin/pytorch-widedeep/issues
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[P] pytorch-widedeep model alert: TabPerceiver and TabFastFormer are now available in the library
New DL models for Tabular Data and functionalities added to the pytorch-widedeep library
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[P] pytorch-widedeep model alert: SAINT and the FT-Transformer are now available in the library
🚨MODEL ALERT! 🚨New DL models for Tabular Data added to the pytorch-widedeep library . SAINT by Gowthami Somepalli and collaborators (paper: https://arxiv.org/abs/2106.01342) and the FT-Transformer which was already used at the SAINT paper but officially introduced by Yury Gorishniy and collaborators (paper: https://arxiv.org/abs/2106.11959). More functionalities coming soon to the [library](https://github.com/jrzaurin/pytorch-widedeep)
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How to do K-Fold Cross Validation for hyperparameter tuning on pytorch-widedeep ?
Now in pytorch-widedeep (https://github.com/jrzaurin/pytorch-widedeep) the recommended path for training a single model is:
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[P] pytorch-widedeep v1.0: deep learning for tabular data that you can combine with images and text
Main repo
- Pytorch-widedeep v1.0: deep learning for tabular data
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[P] pytorch-widedeep, deep learning for tabular data: Deep Learning vs LightGBM
A thorough comparison between Deep Learning algorithms for tabular data (using pytorch-widedeep ) and LightGBM for classification and regression problems.
What are some alternatives?
tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
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:
alibi-detect - Algorithms for outlier, adversarial and drift detection
ArtLine - A Deep Learning based project for creating line art portraits.
torchio - Medical imaging toolkit for deep learning
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.
scrambpy - Scramb.py is a region based JPEG Image Scrambler and Descrambler written in Python for End-to-End-Encrypted (E2EE) Image distribution through unaware channels.
autogluon - Fast and Accurate ML in 3 Lines of Code
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
LAVIS - LAVIS - A One-stop Library for Language-Vision Intelligence