ApacheCN 翻译活动进度公告 2019.3.17
【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 | 博客园头条号 | 搜狐号 | bilibili 专栏We are ApacheCN Open Source Organization, not ASF! We are fans of AI, and have no relationship with ASF!合作or侵权，请联系【fonttian】<fonttian@gmail.com> | 请抄送一份到 <apachecn@163.com>seaborn 0.9 中文文档参与方式：https://github.com/apachecn/s…整体进度：https://github.com/apachecn/s…项目仓库：https://github.com/apachecn/s…认领：6/74，翻译：2/74序号章节译者进度1An introduction to seaborn@yiran7324 2Installing and getting started@neolei100%3Visualizing statistical relationships@JNJYan100%4Plotting with categorical data@hold2010 5Visualizing the distribution of a dataset@alohahahaha 6Visualizing linear relationships 7Building structured multi-plot grids@keyianpai 8Controlling figure aesthetics 9Choosing color palettes 10seaborn.relplot 11seaborn.scatterplot 12seaborn.lineplot 13seaborn.catplot 14seaborn.stripplot 15seaborn.swarmplot 16seaborn.boxplot 17seaborn.violinplot 18seaborn.boxenplot 19seaborn.pointplot 20seaborn.barplot 21seaborn.countplot 22seaborn.jointplot 23seaborn.pairplot 24seaborn.distplot 25seaborn.kdeplot 26seaborn.rugplot 27seaborn.lmplot 28seaborn.regplot 29seaborn.residplot 30seaborn.heatmap 31seaborn.clustermap 32seaborn.FacetGrid 33seaborn.FacetGrid.map 34seaborn.FacetGrid.map_dataframe 35seaborn.PairGrid 36seaborn.PairGrid.map 37seaborn.PairGrid.map_diag 38seaborn.PairGrid.map_offdiag 39seaborn.PairGrid.map_lower 40seaborn.PairGrid.map_upper 41seaborn.JointGrid 42seaborn.JointGrid.plot 43seaborn.JointGrid.plot_joint 44seaborn.JointGrid.plot_marginals 45seaborn.set 46seaborn.axes_style 47seaborn.set_style 48seaborn.plotting_context 49seaborn.set_context 50seaborn.set_color_codes 51seaborn.reset_defaults 52seaborn.reset_orig 53seaborn.set_palette 54seaborn.color_palette 55seaborn.husl_palette 56seaborn.hls_palette 57seaborn.cubehelix_palette 58seaborn.dark_palette 59seaborn.light_palette 60seaborn.diverging_palette 61seaborn.blend_palette 62seaborn.xkcd_palette 63seaborn.crayon_palette 64seaborn.mpl_palette 65seaborn.choose_colorbrewer_palette 66seaborn.choose_cubehelix_palette 67seaborn.choose_light_palette 68seaborn.choose_dark_palette 69seaborn.choose_diverging_palette 70seaborn.load_dataset 71seaborn.despine 72seaborn.desaturate 73seaborn.saturate 74seaborn.set_hls_values HBase 3.0 中文参考指南参与方式：https://github.com/apachecn/h…整体进度：https://github.com/apachecn/h…项目仓库：https://github.com/apachecn/h…认领：18/31，翻译：11/31章节译者进度Preface@xixici100%Getting Started@xixici100%Apache HBase Configuration@xixici100%Upgrading@xixici100%The Apache HBase Shell@xixici100%Data Model@Winchester-Yi HBase and Schema Design@RaymondCode100%RegionServer Sizing Rules of Thumb HBase and MapReduce@BridgetLai100%Securing Apache HBase Architecture@RaymondCode In-memory Compaction@mychaow Backup and Restore@mychaow Synchronous Replication@mychaow Apache HBase APIs@xixici100%Apache HBase External APIs@xixici100%Thrift API and Filter Language@xixici100%HBase and Spark@TsingJyujing100%Apache HBase Coprocessors@TsingJyujing 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@TsingJyujing Procedure Framework (Pv2): HBASE-12439 AMv2 Description for Devs ZooKeeper Community Appendix PyTorch 1.0 中文文档参与方式：https://github.com/apachecn/p…整体进度：https://github.com/apachecn/p…项目仓库：https://github.com/apachecn/p…教程部分：认领：37/37，翻译：34/37；文档部分：认领：37/39，翻译：34/39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@bruce1408100%What is torch.nn really?@lhc741100%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@bruce1408100%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@wangshuai9517100%Reinforcement Learning (DQN) Tutorial@friedhelm739100%Creating Extensions Using numpy and scipy@cangyunye100%Custom C++ and CUDA Extensions@Lotayou Extending TorchScript with Custom C++ Operators@cloudyyyyy Writing Distributed Applications with PyTorch@firdameng100%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@PEGASUS1993100%Frequently Asked Questions@PEGASUS1993100%Multiprocessing best practices@cvley100%Reproducibility@WyattHuang1 Serialization semantics@yuange250100%Windows FAQ@PEGASUS1993100%torch 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@gfjiangly100%Distributed communication package - torch.distributed@univeryinli100%Probability distributions - torch.distributions@hijkzzz100%Torch Script@keyianpai100%Multiprocessing package - torch.multiprocessing@hijkzzz100%torch.utils.bottleneck@belonHan100%torch.utils.checkpoint@belonHan100%torch.utils.cpp_extension@belonHan100%torch.utils.data@BXuan694100%torch.utils.dlpack@kunwuz100%torch.hub@kunwuz100%torch.utils.model_zoo@BXuan694100%torch.onnx@guobaoyo100%Distributed communication package (deprecated) - torch.distributed.deprecated torchvision Reference@BXuan694100%torchvision.datasets@BXuan694100%torchvision.models@BXuan694100%torchvision.transforms@BXuan694100%torchvision.utils@BXuan694100%AirFlow 中文文档参与方式：https://github.com/apachecn/a…整体进度：https://github.com/apachecn/a…项目仓库：https://github.com/apachecn/a…认领：25/30，翻译：24/30章节贡献者进度1 项目@zhongjiajie100%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@zhongjiajie 31 API 参考 UCB CS61b：Java 中的数据结构参与方式：https://github.com/apachecn/c…整体进度：https://github.com/apachecn/c…项目仓库：https://github.com/apachecn/c…认领：5/12，翻译：1/12标题译者进度一、算法复杂度@leader402二、抽象数据类型@Allenyep100%三、满足规范 四、序列和它们的实现@biubiubiuboomboomboom五、树@biubiubiuboomboomboom六、搜索树 七、哈希 八、排序和选择@Rachel-Hu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…认领：21/25，翻译：19/25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 >0%六、随机计数@viviwong100%七、泊松化@YAOYI626100%八、期望 50%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 50%二十三、联合正态随机变量@JUNE951234二十四、简单线性回归@ThomasCai100%二十五、多元回归@lanhaixuan100%OpenCV 4.0 中文文档参与方式：https://github.com/apachecn/o…整体进度：https://github.com/apachecn/o…项目仓库：https://github.com/apachecn/o…认领：51/51，翻译：19/51。章节贡献者进度1. 简介@wstone00111.1 OpenCV-Python教程简介-100%1.2 安装OpenCV—Python-100%2. GUI功能@ranxx2.1 图像入门-100%2.2 视频入门-100%2.3 绘图功能-100%2.4 鼠标作为画笔-100%2.5 作为调色板的跟踪栏-100%3. 核心操作@luxinfeng3.1 图像基本操作-100%3.2 图像的算术运算-100%3.3 性能测量和改进技术-100%4. 图像处理@friedhelm7394.1 更改颜色空间-100%4.2 图像的几何变换-100%4.3 图像阈值-100%4.4 平滑图像-4.5 形态转换-4.6 图像梯度-4.7 Canny边缘检测-4.8 影像金字塔-4.9 轮廓-4.10 直方图-4.11 图像转换-4.12 模板匹配-4.13 霍夫线变换-4.14 霍夫圆变换-4.15 基于分水岭算法的图像分割-基于GrabCut算法的交互式前景提取-5. 特征检测和描述@3lackrush5.1 了解功能-100%5.2 Harris角点检测-5.3 Shi-Tomasi角点检测和追踪的良好特征-5.4 SIFT简介（尺度不变特征变换）-5.5 SURF简介（加速鲁棒特性）-5.6 角点检测的FAST算法-5.7 简介（二进制鲁棒独立基本特征）-5.8 ORB（定向快速和快速旋转）-5.9 特征匹配-5.10 特征匹配+ Homography查找对象-6. 视频分析@xmmmmmovo6.1 Meanshift和Camshift-100%6.2 光流-100%6.3 背景减法-100%7. 相机校准和3D重建@xmmmmmovo 7.1 相机校准-7.2 姿势估计-7.3 极线几何-7.4 立体图像的深度图-8. 机器学习@wstone00118.1 K-最近邻-8.2 支持向量机（SVM）-8.3 K-Means聚类-9. 计算摄影@ranxx9.1 图像去噪-9.2 图像修复-9.3 高动态范围（HDR）-10. 目标检测@jiangzhonglian 10.1 使用Haar Cascades进行人脸检测-100%11. OpenCV-Python绑定@daidai21 11.1 OpenCV-Python绑定如何工作？-100%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 ...