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The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

License: MIT License

deep-learning deep-learning-library deep-learning-tutorial deep-neural-networks python pytorch

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the-incredible-pytorch's Issues

Feature request - addition timestamp

Hi, this is a wonderful repository!
Is there an option to put a date near each addition, or somehow make it so I can tell which ones were added most recently? I know I can look at the chance log but that's rather cumbersome.

slight error

you wrote "attention is you need" instead of "attention is all you need"

Image Captioning paper

Hello,
Thanks for the amazing collection.
But I would like to point out one thing - in the image captioning topic there are three mentioned papers which are correct if we see the captioning field but since this collection is about pytorch I was confuse why the 'DenceCap' paper is there because the paper is on lua, lua with torch.

Broken links

The links under Official PyTorch Tutorials are broken. I guess the should link to the official pytorch tutorial repo and not this one.

Sequence Labeling models (LSTM-CRF with character LSTM/CNN features)

Hi,

I have implemented a PyTorch based Sequence Labeling framework. PyTorchSeqLabel

It is a LSTM-CRF structure with a choice of character LSTM/CNN features input.

This repository reimplements structures in following two papers:

  1. Neural Architectures for Named Entity Recognition, NAACL2016
  2. End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF, ACL2016

Split Into Categories

I'll be splitting the page into sub-categories like meta-learning, deep reinforcement learning, GANs, etc.

Feel free to provide your suggestions. I'm doing this because this is getting massive and hard to find things quickly without knowing what you're looking for.

Tabular Data Category : pytorch-tabnet

To my surprise there is no tabular data category in the list, while it’s probably the most common type of data you encounter in Machine Learning.

I would suggest adding pytorch-tabnet to the newly created « Tabular Data » category. Pytorch-tabnet allows easy training of TabNet model (attention based model for tabular data) for binary/multi-class classification, regression and multi-target regression.

Hope you’ll like the repo and share the love!

https://github.com/dreamquark-ai/tabnet

Thanks!

Explain each category?

This list looks amazing! One thing that I think would be cool for newbies is to explain the category in a paragraph or two.

For example, what is 'Architecture Search' and what is it useful for.

#16 mispelling

You have:

  1. Synthetesizing Views

It rather should be:

  1. Synthesizing Views

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