https://github.com/codecat0/deep-learning-with-code
本项目包含论文阅读、视觉、自然语言处理、大模型、多模态相关教程等
https://github.com/codecat0/deep-learning-with-code
computer-vision multimodal nlp paper stable-diffusion
Last synced: 2 months ago
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本项目包含论文阅读、视觉、自然语言处理、大模型、多模态相关教程等
- Host: GitHub
- URL: https://github.com/codecat0/deep-learning-with-code
- Owner: codecat0
- Created: 2025-05-06T11:23:50.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2025-06-17T11:47:45.000Z (about 1 year ago)
- Last Synced: 2025-06-17T12:39:59.050Z (about 1 year ago)
- Topics: computer-vision, multimodal, nlp, paper, stable-diffusion
- Language: Jupyter Notebook
- Homepage:
- Size: 20.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Deep Learning With Code
## 1. 简介
本项目致力于实现一个既能让**深度学习小白也能搞懂**，又能**服务科研和工业社区**的代码库。包含但不限于：
- 论文解读，论文核心代码实现，以及配套的教程；
- 计算机视觉、自然语言处理、大模型等领域的经典算法实现；
- 计算机视觉项目、自然语言处理项目、大模型项目的实战案例；
- 常用深度学习框架的教程。
## 2. 目录结构
```yaml
|--DeepLearningWithCode
|-- README.md：项目说明
|-- docs：文档说明
|-- tutorial：常用框架教程
|-- module：论文核心代码
|-- projects：项目实战
```
### 2.1 module 核心代码模块
#### [Attention模块](https://github.com/codecat0/Deep-Learning-With-Code/blob/master/docs/module_docs/Attention.md)
- [ScaledDotProductAttention](https://github.com/codecat0/Deep-Learning-With-Code/blob/master/module/attention/self_attention.py)：[Attention is All You Need](https://arxiv.org/abs/1706.03762)
- [SEAttention](https://github.com/codecat0/Deep-Learning-With-Code/blob/master/module/attention/se_attention.py)：[Squeeze-and-Excitation Attention](https://arxiv.org/abs/1709.01507)
- [CBAM](https://github.com/codecat0/Deep-Learning-With-Code/blob/master/module/attention/cbam.py)：[CBAM: Convolutional Block Attention Module](https://arxiv.org/abs/1807.06521)
#### [Pooling模块](https://github.com/codecat0/Deep-Learning-With-Code/blob/master/docs/module_docs/Pooling.md)
- [BlurPooling](https://github.com/codecat0/Deep-Learning-With-Code/blob/master/module/pool/blur_pool.py)：[Making Convolutional Networks Shift-Invariant Again](https://arxiv.org/pdf/1904.11486.pdf)