ApacheCN 翻译活动进度公告 2019.2.18

PyTorch 1.0 中文文档和教程

教程部分:认领:36/37,翻译:28/37;文档部分:认领:29/39,翻译:15/39

参与方式:https://github.com/apachecn/pytorch-doc-zh/blob/master/CONTRIBUTING.md

整体进度:https://github.com/apachecn/pytorch-doc-zh/issues/274

项目仓库:https://github.com/apachecn/pytorch-doc-zh

章节 贡献者 进度
教程部分 - -
Deep Learning with PyTorch: A 60 Minute Blitz @bat67 100%
What is PyTorch? @bat67 100%
Autograd: Automatic Differentiation @bat67 100%
Neural Networks @bat67 100%
Training a Classifier @bat67 100%
Optional: Data Parallelism @bat67 100%
Data Loading and Processing Tutorial @yportne13 100%
Learning PyTorch with Examples @bat67 100%
Transfer Learning Tutorial @jiangzhonglian 100%
Deploying a Seq2Seq Model with the Hybrid Frontend @cangyunye 100%
Saving and Loading Models @sfyumi
What is <cite>torch.nn</cite> really? @lhc741
Finetuning Torchvision Models @ZHHAYO 100%
Spatial Transformer Networks Tutorial @PEGASUS1993 100%
Neural Transfer Using PyTorch @bdqfork 100%
Adversarial Example Generation @cangyunye 100%
Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX @PEGASUS1993 100%
Chatbot Tutorial @a625687551 100%
Generating Names with a Character-Level RNN @hhxx2015 100%
Classifying Names with a Character-Level RNN @hhxx2015 100%
Deep Learning for NLP with Pytorch @BreezeHavana
Introduction to PyTorch @guobaoyo 100%
Deep Learning with PyTorch @bdqfork 100%
Word Embeddings: Encoding Lexical Semantics @sight007 100%
Sequence Models and Long-Short Term Memory Networks @ETCartman 100%
Advanced: Making Dynamic Decisions and the Bi-LSTM CRF @JohnJiangLA
Translation with a Sequence to Sequence Network and Attention @mengfu188 100%
DCGAN Tutorial @wangshuai9517
Reinforcement Learning (DQN) Tutorial @BreezeHavana
Creating Extensions Using numpy and scipy @cangyunye 100%
Custom C++ and CUDA Extensions @Lotayou
Extending TorchScript with Custom C++ Operators
Writing Distributed Applications with PyTorch @firdameng
PyTorch 1.0 Distributed Trainer with Amazon AWS @yportne13 100%
ONNX Live Tutorial @PEGASUS1993 100%
Loading a PyTorch Model in C++ @talengu 100%
Using the PyTorch C++ Frontend @solerji 100%
文档部分 - -
Autograd mechanics @PEGASUS1993 100%
Broadcasting semantics @PEGASUS1993 100%
CUDA semantics @jiangzhonglian 100%
Extending PyTorch @PEGASUS1993
Frequently Asked Questions @PEGASUS1993
Multiprocessing best practices @cvley 100%
Reproducibility @WyattHuang1
Serialization semantics @yuange250 100%
Windows FAQ @PEGASUS1993
torch @ZHHAYO
torch.Tensor @hijkzzz 100%
Tensor Attributes @yuange250 100%
Type Info @PEGASUS1993 100%
torch.sparse @hijkzzz 100%
torch.cuda @bdqfork 100%
torch.Storage @yuange250 100%
torch.nn @yuange250
torch.nn.functional @hijkzzz 100%
torch.nn.init @GeneZC 100%
torch.optim @qiaokuoyuan
Automatic differentiation package - torch.autograd @gfjiangly
Distributed communication package - torch.distributed
Probability distributions - torch.distributions @hijkzzz
Torch Script
Multiprocessing package - torch.multiprocessing @hijkzzz 100%
torch.utils.bottleneck
torch.utils.checkpoint
torch.utils.cpp_extension
torch.utils.data
torch.utils.dlpack
torch.hub
torch.utils.model_zoo
torch.onnx @guobaoyo 100%
Distributed communication package (deprecated) - torch.distributed.deprecated
torchvision Reference @BXuan694
torchvision.datasets @BXuan694
torchvision.models @BXuan694
torchvision.transforms @BXuan694
torchvision.utils @BXuan694

HBase 3.0 中文参考指南

认领:2/31,翻译:0/31

参与方式:https://github.com/apachecn/hbase-doc-zh/blob/master/CONTRIBUTING.md

整体进度:https://github.com/apachecn/hbase-doc-zh/issues/1

项目仓库:https://github.com/apachecn/hbase-doc-zh

章节 译者 进度
Preface
Getting Started
Apache HBase Configuration
Upgrading
The Apache HBase Shell
Data Model
HBase and Schema Design @RaymondCode
RegionServer Sizing Rules of Thumb
HBase and MapReduce
Securing Apache HBase
Architecture
In-memory Compaction
Backup and Restore
Synchronous Replication
Apache HBase APIs
Apache HBase External APIs
Thrift API and Filter Language
HBase and Spark @TsingJyujing
Apache HBase Coprocessors
Apache HBase Performance Tuning
Troubleshooting and Debugging Apache HBase
Apache HBase Case Studies
Apache HBase Operational Management
Building and Developing Apache HBase
Unit Testing HBase Applications
Protobuf in HBase
Procedure Framework (Pv2): HBASE-12439
AMv2 Description for Devs
ZooKeeper
Community
Appendix

Airflow 中文文档

认领:23/30,翻译:23/30。

参与方式:https://github.com/apachecn/airflow-doc-zh/blob/master/CONTRIBUTING.md

整体进度:https://github.com/apachecn/airflow-doc-zh/issues/1

项目仓库:https://github.com/apachecn/airflow-doc-zh

章节 贡献者 进度
1 项目
2 协议 - 100%
3 快速开始 @ImPerat0R_ 100%
4 安装 @Thinking Chen 100%
5 教程 @ImPerat0R_ 100%
6 操作指南 @ImPerat0R_ 100%
7 设置配置选项 @ImPerat0R_ 100%
8 初始化数据库后端 @ImPerat0R_ 100%
9 使用操作器 @ImPerat0R_ 100%
10 管理连接 @ImPerat0R_ 100%
11 保护连接 @ImPerat0R_ 100%
12 写日志 @ImPerat0R_ 100%
13 使用Celery扩大规模 @ImPerat0R_ 100%
14 使用Dask扩展 @ImPerat0R_ 100%
15 使用Mesos扩展(社区贡献) @ImPerat0R_ 100%
16 使用systemd运行Airflow @ImPerat0R_ 100%
17 使用upstart运行Airflow @ImPerat0R_ 100%
18 使用测试模式配置 @ImPerat0R_ 100%
19 UI /截图 @ImPerat0R_ 100%
20 概念 @ImPerat0R_ 100%
21 数据分析 @ImPerat0R_ 100%
22 命令行接口 @ImPerat0R_ 100%
23 调度和触发器 @Ray 100%
24 插件 @ImPerat0R_ 100%
25 安全
26 时区
27 实验性 Rest API @ImPerat0R_ 100%
28 集成
29 Lineage
30 常见问题
31 API 参考

UCB CS61b Java 中的数据结构

认领:0/12,翻译:0/12

参与方式:https://github.com/apachecn/cs61b-textbook-zh/blob/master/CONTRIBUTING.md

整体进度:https://github.com/apachecn/cs61b-textbook-zh/issues/1

项目仓库:https://github.com/apachecn/cs61b-textbook-zh

标题 译者 进度
一、算法复杂度
二、抽象数据类型
三、满足规范
四、序列和它们的实现
五、树
六、搜索树
七、哈希
八、排序和选择
九、平衡搜索
十、并发和同步
十一、伪随机序列
十二、图

UCB Prob140 面向数据科学的概率论

认领:23/25,翻译:17/25

参与方式:https://github.com/apachecn/prob140-textbook-zh/blob/master/CONTRIBUTING.md

整体进度:https://github.com/apachecn/prob140-textbook-zh/issues/2

项目仓库:https://github.com/apachecn/prob140-textbook-zh

标题 译者 翻译进度
一、基础 飞龙 100%
二、计算几率 飞龙 100%
三、随机变量 飞龙 100%
四、事件之间的关系 @biubiubiuboomboomboom 100%
五、事件集合 @PEGASUS1993 >0%
六、随机计数 @viviwong 100%
七、泊松化 @YAOYI626 100%
八、期望 @PEGASUS1993 50%
九、条件(续) @YAOYI626 100%
十、马尔科夫链 喵十八 100%
十一、马尔科夫链(续) 喵十八 100%
十二、标准差 缺只萨摩  100%
十三、方差和协方差 缺只萨摩  100%
十四、中心极限定理 喵十八 100%
十五、连续分布 @ThunderboltSmile
十六、变换
十七、联合密度 @Winchester-Yi 100%
十八、正态和 Gamma 族 @Winchester-Yi 100%
十九、和的分布 平淡的天 100%
二十、估计方法 平淡的天 100%
二十一、Beta 和二项 @lvzhetx 100%
二十二、预测 @lvzhetx 50%
二十三、联合正态随机变量
二十四、简单线性回归 @ThomasCai 100%
二十五、多元回归 @lanhaixuan 100%

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