research-papers-implementation
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Implementing and summarizing interesting research papers in Machine Learning and Neural Network domain.
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 | ✅ | ✅ |