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整体进度 v1.2（校对） #422

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jiangzhonglian opened this issue Sep 23, 2019 · 27 comments
Closed

整体进度 v1.2（校对） #422

jiangzhonglian opened this issue Sep 23, 2019 · 27 comments
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@jiangzhonglian
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jiangzhonglian commented Sep 23, 2019 •
edited by wizardforcel

认领须知

提交的时候不要改动文件名称，
即使它跟章节标题不一样也不要改，
因为文件名和原文的链接是对应的！！！
章节 校验者 进度
中文教程 - -
入门 - -
PyTorch 深度学习: 60 分钟极速入门 @FoxerLee 100%
数据加载和处理教程 @yangkae 100%
用例子学习 PyTorch @yangkae 100%
迁移学习教程 @DrDavidS 100%
部署与TorchScript一个Seq2Seq模型 @FoxerLee 100%
可视化模型，数据，和与训练TensorBoard @jiangzhonglian 100%
保存和加载模型 @jiangzhonglian 100%
torch.nn 到底是什么？ @DrDavidS 100%
图片 - -
TorchVision 对象检测微调教程 @jiangzhonglian 100%
微调 TorchVision 模型 @jiangzhonglian 100%
空间变压器网络教程 @jiangzhonglian 100%
使用PyTorch进行神经网络传递 @jiangzhonglian 100%
对抗性示例生成 @jiangzhonglian 100%
DCGAN教程 @jiangzhonglian 100%
音频 - -
torchaudio教程 @jiangzhonglian 100%
文本 - -
NLP From Scratch: 使用char-RNN对姓氏进行分类 @HelWireless 100%
NLP From Scratch: 生成名称与字符级RNN @HelWireless 100%
NLP From Scratch: 基于注意力机制的 seq2seq 神经网络翻译 @DrDavidS 100%
文本分类与TorchText @PengboLiu 100%
语言翻译与TorchText @PengboLiu 100%
序列对序列建模nn.Transformer和TorchText @dabney777 100%
强化学习（DQN）教程 @wutongzhang 100%
在生产部署PyTorch模型 - -
通过带有Flask的REST API在Python中部署PyTorch @pkwangwanjun
介绍TorchScript @HelWireless 100%
在C ++中加载TorchScript模型
（可选）将模型从PyTorch导出到ONNX并使用ONNX Runtime运行
并行和分布式训练 - -
模型并行化最佳实践 @SherlockBear 100%
分布式数据并行(DDP)入门 @SherlockBear 100%
PyTorch编写分布式应用
（高级）PyTorch 1.0分布式训练与Amazon AWS
扩展PyTorch - -
使用自定义 C++ 扩展算TorchScript @FoxerLee
用 numpy 和 scipy 创建扩展 @FoxerLee 100%
自定义 C++ 和CUDA扩展 @FoxerLee 100%
PyTorch在其他语言 - -
使用PyTorch C++ 前端
中文文档 - -
注解 - -
自动求导机制 @PengboLiu 100%
广播语义 @AlexJakin 100%
CPU线程和TorchScript推理 @AlexJakin
CUDA语义 @AlexJakin 100%
扩展PyTorch
常见问题
对于大规模部署的特点
多处理最佳实践
重复性
序列化语义
Windows 常见问题
社区 - -
PyTorch贡献说明书
PyTorch治理
PyTorch 维护者 - 100%
封装参考文献 - -
torch @张假飞 @飞龙 100%
torch.Tensor
Tensor Attributes
Type Info
torch.sparse
torch.cuda
torch.Storage
torch.nn
torch.nn.functional
torch.nn.init
torch.optim
torch.autograd
torch.distributed
torch.distributions
torch.hub
torch.jit
torch.multiprocessing
torch.random
torch.utils.bottleneck
torch.utils.checkpoint
torch.utils.cpp_extension
torch.utils.data @shuziP 100%
torch.utils.dlpack
torch.utils.model_zoo
torch.utils.tensorboard @shuziP 100%
torch.onnx
torchvision 参考文献 - -
torchvision
@wizardforcel wizardforcel mentioned this issue Sep 23, 2019
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@jiangzhonglian jiangzhonglian pinned this issue Sep 23, 2019
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@wizardforcel wizardforcel added the help wanted Extra attention is needed label Sep 24, 2019
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@pkwangwanjun
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部署PyTorch在Python经由REST API从Flask

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@AlexJakin
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Alex Jakin
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注释： 1. 广播语义 2. CPU线程和TorchScript推理

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@FoxerLee
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FoxerLee commented Oct 24, 2019 •
edited by jiangzhonglian

使用自定义 C++ 扩展算TorchScript
创建扩展使用numpy的和SciPy的
自定义 C++ 和CUDA扩展

505311321

foxerlee

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@AlexJakin
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AlexJakin commented Dec 2, 2019 via email

@GG-yuki
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GG-yuki commented Feb 25, 2020

使用PyTorch C++ 前端
qq是1390867192（封号中，三月中旬会解封）
wx是GG_yuki
如果有任何问题也可以私信联系我

@jiangzhonglian jiangzhonglian linked a pull request Mar 4, 2020 that will close this issue
更新 1.4 翻译版本 #486
Merged
@jiangzhonglian jiangzhonglian unpinned this issue Mar 4, 2020
@jiangzhonglian jiangzhonglian reopened this Mar 4, 2020
@jiangzhonglian jiangzhonglian removed a link to a pull request Mar 4, 2020
更新 1.4 翻译版本 #486
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jiangzhonglian commented Mar 4, 2020 •
edited

1.4 版本: #487

@apachecn apachecn locked and limited conversation to collaborators Aug 2, 2023
@jiangzhonglian jiangzhonglian converted this issue into discussion #617 Aug 2, 2023

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