ApacheCN 翻译活动进度公告 2019.2.18

【主页】 apachecn.org【Github】@ApacheCN暂时下线: 社区暂时下线: cwiki 知识库自媒体平台微博：@ApacheCN知乎：@ApacheCNCSDN简书OSChina博客园我们不是 Apache 的官方组织/机构/团体，只是 Apache 技术栈（以及 AI）的爱好者！合作or侵权，请联系【fonttian】<fonttian@gmail.com> | 请抄送一份到 <apachecn@163.com>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/p…整体进度：https://github.com/apachecn/p…项目仓库：https://github.com/apachecn/p…章节贡献者进度教程部分–Deep Learning with PyTorch: A 60 Minute Blitz@bat67100%What is PyTorch?@bat67100%Autograd: Automatic Differentiation@bat67100%Neural Networks@bat67100%Training a Classifier@bat67100%Optional: Data Parallelism@bat67100%Data Loading and Processing Tutorial@yportne13100%Learning PyTorch with Examples@bat67100%Transfer Learning Tutorial@jiangzhonglian100%Deploying a Seq2Seq Model with the Hybrid Frontend@cangyunye100%Saving and Loading Models@sfyumi What is <cite>torch.nn</cite> really?@lhc741 Finetuning Torchvision Models@ZHHAYO100%Spatial Transformer Networks Tutorial@PEGASUS1993100%Neural Transfer Using PyTorch@bdqfork100%Adversarial Example Generation@cangyunye100%Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX@PEGASUS1993100%Chatbot Tutorial@a625687551100%Generating Names with a Character-Level RNN@hhxx2015100%Classifying Names with a Character-Level RNN@hhxx2015100%Deep Learning for NLP with Pytorch@BreezeHavana Introduction to PyTorch@guobaoyo100%Deep Learning with PyTorch@bdqfork100%Word Embeddings: Encoding Lexical Semantics@sight007100%Sequence Models and Long-Short Term Memory Networks@ETCartman100%Advanced: Making Dynamic Decisions and the Bi-LSTM CRF@JohnJiangLA Translation with a Sequence to Sequence Network and Attention@mengfu188100%DCGAN Tutorial@wangshuai9517 Reinforcement Learning (DQN) Tutorial@BreezeHavana Creating Extensions Using numpy and scipy@cangyunye100%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@yportne13100%ONNX Live Tutorial@PEGASUS1993100%Loading a PyTorch Model in C++@talengu100%Using the PyTorch C++ Frontend@solerji100%文档部分–Autograd mechanics@PEGASUS1993100%Broadcasting semantics@PEGASUS1993100%CUDA semantics@jiangzhonglian100%Extending PyTorch@PEGASUS1993 Frequently Asked Questions@PEGASUS1993 Multiprocessing best practices@cvley100%Reproducibility@WyattHuang1 Serialization semantics@yuange250100%Windows FAQ@PEGASUS1993 torch@ZHHAYO torch.Tensor@hijkzzz100%Tensor Attributes@yuange250100%Type Info@PEGASUS1993100%torch.sparse@hijkzzz100%torch.cuda@bdqfork100%torch.Storage@yuange250100%torch.nn@yuange250 torch.nn.functional@hijkzzz100%torch.nn.init@GeneZC100%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@hijkzzz100%torch.utils.bottleneck torch.utils.checkpoint torch.utils.cpp_extension torch.utils.data torch.utils.dlpack torch.hub torch.utils.model_zoo torch.onnx@guobaoyo100%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/h…整体进度：https://github.com/apachecn/h…项目仓库：https://github.com/apachecn/h…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/a…整体进度：https://github.com/apachecn/a…项目仓库：https://github.com/apachecn/a…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 Chen100%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@Ray100%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/c…整体进度：https://github.com/apachecn/c…项目仓库：https://github.com/apachecn/c…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/p…整体进度：https://github.com/apachecn/p…项目仓库：https://github.com/apachecn/p…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@biubiubiuboomboomboom100%五、事件集合@PEGASUS1993>0%六、随机计数@viviwong100%七、泊松化@YAOYI626100%八、期望@PEGASUS199350%九、条件（续）@YAOYI626100%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-Yi100%十八、正态和 Gamma 族@Winchester-Yi100%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@lvzhetx100%二十二、预测@lvzhetx50%二十三、联合正态随机变量二十四、简单线性回归@ThomasCai100%二十五、多元回归@lanhaixuan100%翻译征集要求：机器学习/数据科学相关或者编程相关原文必须在互联网上开放不能只提供 PDF 格式（我们实在不想把精力都花在排版上）请先搜索有没有人翻译过请回复本文。赞助我们