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Implementing and summarizing interesting research papers in Machine Learning and Neural Network domain.

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DL Research Papers Implementation

The purpose of this repository is to re-implement the models of research papers that interests me for learning purposes, the re-implementation might slightly change from what's been described in the paper and different datasets might be used. For each implemented paper, I try to add a summarization of the paper in the Wiki assotiated with the repository.

Implemented Papers

CV NLP Timeseries Supervised Unsupervised Generative
Additive Attention
Luong Attention
Show, Attent and Tell
Attention is All you need
Conditional Generative Adversarial Network
Temporal Neighborhood Coding
Variational Embeddings Animal Motion
Vision Transformer

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Implementing and summarizing interesting research papers in Machine Learning and Neural Network domain.

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