https://github.com/se00n00/paper_implementation_and_reviews
This Repository is dedicated to implementation and review of machine learning and deep learning papers
https://github.com/se00n00/paper_implementation_and_reviews
deep-learning image implementation-of-research-paper natural-language-processing
Last synced: 3 months ago
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This Repository is dedicated to implementation and review of machine learning and deep learning papers
- Host: GitHub
- URL: https://github.com/se00n00/paper_implementation_and_reviews
- Owner: Se00n00
- License: mit
- Created: 2025-05-02T11:32:42.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-06-01T12:43:56.000Z (4 months ago)
- Last Synced: 2025-06-09T18:49:05.894Z (4 months ago)
- Topics: deep-learning, image, implementation-of-research-paper, natural-language-processing
- Language: Jupyter Notebook
- Homepage:
- Size: 489 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Paper Implementation and Reviews
This repository is dedicated to the implementation of deep learning research papers. It is organized into three directories based on content type:
`visual/` : Computer vision and image-based paper implementations
`language/` : Natural language processing paper implementations
`misc/` : Other deep learning-related works
## Implemented Papers
### Images
**AlexNet**
[`code`](Visual/Models/AlexNet.py)
[Paper: ImageNet Classification with Deep Convolutional Neural Networks](https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf)
**VGG19**
[`code`](Visual/Models/Vgg19.py)
[Paper: Very Deep Convolutional Networks For Large-Scale Image Recognition](https://arxiv.org/pdf/1409.1556)
**ViT**
[`code`](Visual/Models/Vit.py)
[Paper: An Image is worth 16x16 words: Transformer for Image Recognition at scale](https://arxiv.org/pdf/2010.11929)
### Natural Language
**Transformer**
[`code`](Language/models/transformer.py)
[Paper: Attention Is All You Need](https://arxiv.org/pdf/1706.03762)