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View Code? Open in Web Editor NEWThe Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
License: MIT License
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
License: MIT License
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.
you wrote "attention is you need" instead of "attention is all you need"
hi @ritchieng,
I just implement Decoupled Neural Interfaces using Synthetic Gradients in pytorch, here
May add it 👍
Hello, thanks a lot for your nice repo !
You introduced the paper "Unsupervised Learning of Depth and Ego-Motion from Video" and the implementation I've done (https://github.com/ClementPinard/SfmLearner-Pytorch) as "Papers Originally Implemented with PyTorch" , but the original implementation is in Tensorflow, made by tinghuiz : https://github.com/tinghuiz/SfMLearner
We created Renate, a library for continual learning algorithms: https://github.com/awslabs/renate
I didn't open a PR since there is not specific category for that.
Hi @ritchieng , Was hoping you can add my new package - torchsample
- to this list. It includes a lot of transforms and data samplers which significantly extend the current functionality in torch/torchvision.
https://github.com/ncullen93/torchsample
Thanks!
I think the incredible pytorch would benefit from referencing this well written tutorial on pytorch
https://github.com/yunjey/pytorch-tutorial
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.
The links under Official PyTorch Tutorials are broken. I guess the should link to the official pytorch tutorial repo and not this one.
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:
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.
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!
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.
Hi,
I did another implementation of Hierarchical Attention Network for Document classification (HAN-Pytorch). Not sure how to add it as there is already one, i'll let you choose how to do it.
Cheers,
Charles.
You have:
It rather should be:
https://github.com/edouardoyallon/pyscatwave
May add it to the list
https://github.com/1zb/deformable-convolution-pytorch
Deformable convolution module (ConvOffset2d)
Hi it would be great if you could include this suite of semantic segmentation architectures:
Hello, would you please consider adding MedicalZoo Pytorch in the medical section?
It is a deep learning framework for multi-modal 2D/3D medical image segmentation.
Link: https://github.com/black0017/MedicalZooPytorch
Great work by the way!
N.A.
This is a framework, based on TFGAN, which allows us to model complex GANs easily. Here is the link. To have a look at the models go to the model-zoo.
Let's add a category with papers, tutorials and notebooks on privacy preserving ML leveraging pytorch
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.