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A collection of paper implementations using the PyTorch framework

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PyTorch Implementations

A collection of pytorch notebooks implementing deep learning papers. This notebooks were developed during studying these papers and helped me reinforced the concepts strongly. The goal is to maintain this repository and add more paper implementations. I hope that these notebooks help other practitioners as well.

Name Notebook
A Neural Algorithm of Artistic Style colab link
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention colab link
Efficient Estimation of Word Representations in Vector Space colab link
GloVe: Global Vectors for Word Representation colab link
Convolutional Neural Networks for Sentence Classification colab link
Neural Machine Translation by Jointly Learning to Align and Translate colab link
Attention Is All You Need colab link

Contribution

If you would like to contribute a deep learning paper implementation, then please send the pull request with the jupyter notebook filename as the paper name. Maintaining a single repository showcasing different paper implementations would help other practitioners.