Source Code Notebook

关于一些经典论文源码的逐行中文笔记
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关于一些经典论文源码Source Code的中文笔记,尽量做到整体框架梳理逐行源码注释

  • 不过太早期的代码一般都模块化了,所以主要更一些后期(2017-NOW)的笔记。

  • 语言主要是Pytorch和Tensorflow版本的代码,部分Keras。

  • 部分代码Run起来需要涉及到配置、数据集和预训练模型,请对应原文章的源码进行操作。

  • 有注解错误和思路问题欢迎讨论。

欢迎访问博客:https://nakaizura.blog.csdn.net/

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图神经网络 | Graph | Notebook | keywords | | ------ | ------ | ------ | | Louvain | Notebook | Community Detection | | DeepWalk | Notebook | Graph Embedding | | node2vec | Notebook | Graph Embedding Plus | | GCN | Notebook | Spectral Convolutional | | GAT | Notebook | Spatial+Attention | | GraphSAGE | Notebook | Inductive | | GAE | Notebook | Graph Autoencoder | | HetGNN | Notebook | Heterogeneous | | Scenegraph | Notebook | Relationship Triplet | | Graph Transformer | Notebook | Graph Transformer |

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自然语言处理 | NLP | Notebook | keywords | | ------ | ------ | ------ | | NTM | Notebook | NVDM-GSM | | Skip-Thought | Notebook | Sentence2vec | | Transformer | Notebook | Attention is All | | BERT | Notebook | Pretraning NLP | | extractive_summarization | Notebook | Extractive Summarization | | UIE | Notebook | Information Extraction | | OpenPrompt | Notebook | OpenPrompt |

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