https://github.com/jmcheon/paper_impl
https://github.com/jmcheon/paper_impl
python3 pytorch research-paper-implementation tensorflow
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/jmcheon/paper_impl
- Owner: jmcheon
- Created: 2025-03-02T16:49:47.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-03-17T11:37:25.000Z (2 months ago)
- Last Synced: 2025-03-17T12:34:32.902Z (2 months ago)
- Topics: python3, pytorch, research-paper-implementation, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 17.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Paper Implementation
This repository contains implementations of moderne AI architectures from research papers.
## Paper Naming Convention
Each implementation follows this naming format:
`
{paper_alias}_{paper_year}
`
## 📌 Computer Vision and Pattern Recognition
- **VGG_2014** - [Very Deep Convolutional Networks for Large-Scale Image Recognition](https://arxiv.org/pdf/1409.1556)
- **FCN_2014** - [Fully Convolutional Networks for Semantic Segmentation](https://arxiv.org/pdf/1411.4038)
- **UNet_2015** - [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/abs/1505.04597)
- **ResNet_2015** - [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385)
- **MobileNetV1_2017** - [MobileNets: Efficient Convolutional Nerual Networks for Mobile Vision Applications](https://arxiv.org/abs/1704.04861)
- **MobileNetV2_2018** - [MobileNetV2: Inverted Residuals and Linear Bottlenecks](https://arxiv.org/abs/1801.04381)
- **SID_2018** - [Learning to See in the Dark](https://arxiv.org/abs/1805.01934)
## 📌 Computation and Languages
- **Transformer_2017** - [Attention Is All You Need](https://arxiv.org/abs/1706.03762)