rtdl
rtdl-revisiting-models
| rtdl | rtdl-revisiting-models | |
|---|---|---|
| 5 | 1 | |
| 314 | 156 | |
| - | 10.9% | |
| 8.9 | 0.0 | |
| about 2 years ago | 5 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
rtdl-revisiting-models
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[R] New paper on Tabular DL: "On Embeddings for Numerical Features in Tabular Deep Learning"
JFYI: recently, we have split our codebase into separate projects: - https://github.com/Yura52/rtdl - https://github.com/Yura52/tabular-dl-revisiting-models - (the new one) https://github.com/Yura52/tabular-dl-num-embeddings
What are some alternatives?
tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Watermark-Removal-Pytorch - 🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.
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:
lava-dl - Deep Learning library for Lava
ArtLine - A Deep Learning based project for creating line art portraits.
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
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.
mnist1d - A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
threat-research-and-intelligence - BlackBerry Threat Research & Intelligence