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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep Learning With Code\r\n\r\n## 1. 简介\r\n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：\r\n- 论文解读，论文核心代码实现，以及配套的教程；\r\n- 计算机视觉、自然语言处理、大模型等领域的经典算法实现；\r\n- 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；\r\n- 常用深度学习框架的教程。\r\n\r\n## 2. 目录结构\r\n```yaml\r\n|--DeepLearningWithCode\r\n    |-- README.md：项目说明\r\n    |-- docs：文档说明\r\n    |-- tutorial：常用框架教程\r\n    |-- module：论文核心代码\r\n    |-- projects：项目实战\r\n```\r\n\r\n### 2.1 module 核心代码模块\r\n#### [Attention模块](https://github.com/codecat0/Deep-Learning-With-Code/blob/master/docs/module_docs/Attention.md)\r\n- [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)\r\n- [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)\r\n- [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)\r\n\r\n#### [Pooling模块](https://github.com/codecat0/Deep-Learning-With-Code/blob/master/docs/module_docs/Pooling.md)\r\n- [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)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodecat0%2Fdeep-learning-with-code","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodecat0%2Fdeep-learning-with-code","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodecat0%2Fdeep-learning-with-code/lists"}