中文版 pytorch
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About the pytorch category
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0 | 1427 | January 14, 2021 |
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Softmax回归的简洁实现
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121 | 42113 | December 7, 2025 |
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Softmax回归的从零实现
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155 | 54466 | December 5, 2025 |
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多层感知机
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34 | 21078 | December 3, 2025 |
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目标检测和边界框
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14 | 7097 | December 3, 2025 |
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卷积神经网络（LeNet）
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102 | 40455 | December 2, 2025 |
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数值稳定性和模型初始化
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17 | 9375 | December 2, 2025 |
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参数管理
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26 | 15284 | November 30, 2025 |
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数据预处理
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186 | 65133 | November 28, 2025 |
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风格迁移
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11 | 4799 | November 27, 2025 |
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线性代数
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88 | 44490 | July 17, 2025 |
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实战 Kaggle 比赛：预测房价
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125 | 47724 | November 18, 2025 |
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Transformer
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52 | 24140 | November 17, 2025 |
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含并行连结的网络（GoogLeNet）
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28 | 9344 | November 13, 2025 |
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前言
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22 | 32463 | November 13, 2025 |
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自然语言推断：使用注意力
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3 | 1516 | November 12, 2025 |
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模型选择、欠拟合和过拟合
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85 | 24787 | November 12, 2025 |
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微分
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100 | 43905 | November 10, 2025 |
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实战 Kaggle 比赛：狗的品种识别（ImageNet Dogs）
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15 | 5454 | October 30, 2025 |
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概率
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75 | 26143 | October 27, 2025 |
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用于预训练BERT的数据集
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19 | 6224 | October 24, 2025 |
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循环神经网络的从零开始实现
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52 | 15781 | October 23, 2025 |
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用于预训练词嵌入的数据集
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25 | 7574 | October 23, 2025 |
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Bahdanau 注意力
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37 | 10602 | October 21, 2025 |
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Dropout
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82 | 28439 | October 16, 2025 |
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语言模型和数据集
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37 | 14082 | October 12, 2025 |
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线性回归的从零开始实现
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158 | 67632 | October 10, 2025 |
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微调
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38 | 12619 | October 10, 2025 |
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自注意力和位置编码
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24 | 7815 | October 10, 2025 |
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图像增广
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20 | 9082 | October 8, 2025 |