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PyTorch 1.0 中文文档
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
教程部分:认领:36/37,翻译:29/37;文档部分:认领:34/39,翻译:23/39
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 torch.nn really? | @lhc741 | 100% |
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 | 100% |
Multiprocessing best practices | @cvley | 100% |
Reproducibility | @WyattHuang1 | |
Serialization semantics | @yuange250 | 100% |
Windows FAQ | @PEGASUS1993 | 100% |
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 | @belonHan | |
torch.utils.checkpoint | @belonHan | |
torch.utils.cpp_extension | @belonHan | |
torch.utils.data | @BXuan694 | |
torch.utils.dlpack | ||
torch.hub | ||
torch.utils.model_zoo | @BXuan694 | 100% |
torch.onnx | @guobaoyo | 100% |
Distributed communication package (deprecated) - torch.distributed.deprecated | ||
torchvision Reference | @BXuan694 | 100% |
torchvision.datasets | @BXuan694 | 100% |
torchvision.models | @BXuan694 | 100% |
torchvision.transforms | @BXuan694 | 100% |
torchvision.utils | @BXuan694 | 100% |
HBase 3.0 中文参考指南
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
认领:3/31,翻译:1/31
章节 | 译者 | 进度 |
---|---|---|
Preface | ||
Getting Started | ||
Apache HBase Configuration | ||
Upgrading | ||
The Apache HBase Shell | ||
Data Model | @Winchester-Yi | |
HBase and Schema Design | @RaymondCode | 100% |
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
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
认领:24/30,翻译:24/30。
章节 | 贡献者 | 进度 |
---|---|---|
1 项目 | @zhongjiajie | 100% |
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 |
OpenCV 4.0 中文文档
参与方式:https://github.com/apachecn/opencv-doc-zh/blob/master/CONTRIBUTING.md
整体进度:https://github.com/apachecn/opencv-doc-zh/issues/1
项目仓库:https://github.com/apachecn/opencv-doc-zh
认领:0/51,翻译:0/51。
章节 | 贡献者 | 进度 |
---|---|---|
1. 简介 | ||
1.1 OpenCV-Python教程简介 | ||
1.2 安装OpenCV—Python | ||
2. GUI功能 | ||
2.1 图像入门 | ||
2.2 视频入门 | ||
2.3 绘图功能 | ||
2.4 鼠标作为画笔 | ||
2.5 作为调色板的跟踪栏 | ||
3. 核心操作 | ||
3.1 图像基本操作 | ||
3.2 图像的算术运算 | ||
3.3 性能测量和改进技术 | ||
4. 图像处理 | ||
4.1 更改颜色空间 | ||
4.2 图像的几何变换 | ||
4.3 图像阈值 | ||
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 | ||
5.1 了解功能 | ||
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 | ||
6.1 Meanshift和Camshift | ||
6.2 光流 | ||
6.3 背景减法 | ||
7. 相机校准和3D重建 | ||
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 | ||
8.1 K-最近邻 | ||
8.2 支持向量机(SVM) | ||
8.3 K-Means聚类 | ||
9. 计算摄影 | ||
9.1 图像去噪 | ||
9.2 图像修复 | ||
9.3 高动态范围(HDR) | ||
10. 目标检测 | ||
10.1 使用Haar Cascades进行人脸检测 | ||
11. OpenCV-Python绑定 | ||
11.1 OpenCV-Python绑定如何工作? |
UCB CS61b:Java 中的数据结构
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
认领:0/12,翻译:0/12。
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
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
认领:23/25,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 | @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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