中文版 pytorch
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|---|---|---|---|---|
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About the pytorch category
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0 | 1694 | January 14, 2021 |
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用于预训练词嵌入的数据集
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27 | 9412 | September 15, 2026 |
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Transformer
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55 | 29306 | September 12, 2026 |
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线性回归的从零开始实现
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160 | 78486 | September 9, 2026 |
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前言
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29 | 39830 | September 8, 2026 |
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自注意力和位置编码
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31 | 11482 | September 8, 2026 |
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多头注意力
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62 | 27092 | September 7, 2026 |
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注意力评分函数
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40 | 12247 | September 3, 2026 |
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注意力汇聚：Nadaraya-Watson 核回归
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56 | 22268 | September 1, 2026 |
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线性回归的简洁实现
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79 | 49945 | August 30, 2026 |
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序列到序列学习（seq2seq）
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86 | 27735 | August 27, 2026 |
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多层感知机的从零实现
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93 | 37730 | August 25, 2026 |
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双向循环神经网络
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18 | 6914 | August 25, 2026 |
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长短期记忆网络（LSTM）
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21 | 12568 | August 24, 2026 |
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门控循环单元（GRU）
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26 | 8233 | August 22, 2026 |
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循环神经网络的从零开始实现
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53 | 19719 | August 14, 2026 |
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语言模型和数据集
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41 | 18480 | August 8, 2026 |
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序列模型
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38 | 16303 | August 5, 2026 |
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语义分割和数据集
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22 | 7907 | July 28, 2026 |
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风格迁移
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13 | 6099 | July 26, 2026 |
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单发多框检测（SSD）
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22 | 7586 | July 25, 2026 |
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Adam算法
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3 | 2674 | July 22, 2026 |
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Softmax回归的简洁实现
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123 | 51163 | July 22, 2026 |
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随机梯度下降
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6 | 2944 | July 21, 2026 |
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Softmax回归的从零实现
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158 | 63920 | July 13, 2026 |
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Dropout
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84 | 34139 | July 10, 2026 |
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残差网络（ResNet）
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85 | 42728 | July 9, 2026 |
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汇聚层
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30 | 12513 | June 21, 2026 |
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线性回归
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93 | 60075 | June 10, 2026 |
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来自Transformers的双向编码器表示（BERT）
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19 | 5798 | June 2, 2026 |