/attend-and-tell-2015_ipynb

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

Primary LanguageJupyter Notebook

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 ✅ ✅