ApacheCN 活动汇总 2019.2

招贤纳士

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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

【请在这里留言】

翻译活动

PyTorch 1.0 文档翻译活动

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

进度:教程部分:认领 35/37,翻译 26/37;文档部分:16/39,翻译 8/39

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 <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
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
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
Reproducibility @WyattHuang1
Serialization semantics
Windows FAQ @PEGASUS1993
torch
torch.Tensor @hijkzzz 100%
Tensor Attributes
Type Info @PEGASUS1993 100%
torch.sparse
torch.cuda @bdqfork 100%
torch.Storage
torch.nn
torch.nn.functional @hijkzzz
torch.nn.init @GeneZC
torch.optim @qiaokuoyuan
Automatic differentiation package - torch.autograd
Distributed communication package - torch.distributed
Probability distributions - torch.distributions
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
torchvision.datasets
torchvision.models
torchvision.transforms
torchvision.utils

HBase 参考指南 3.0 翻译活动

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

进度:认领 1/31,翻译 0/31

章节 译者 进度
Preface
Getting Started
Apache HBase Configuration
Upgrading
The Apache HBase Shell
Data Model
HBase and Schema Design
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

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学习活动

深度学习 TensorFlow - 第1期

参与

  • QQ群: 809872385
  • 时间周期: 2018-12-10~2018-12-21 (共 14 天)
  • 学习方式: 自主留言进度,无监督模式(主要是先过一遍,然后实现文档中的代码效果,有问题留言)

内容

  1. 安装
  2. 学习(教程)
    1. 开始使用 TensorFlow
    2. 学习和使用机器学习
  3. 学习快的,可以帮助协助回答问题
  4. 学习快的,可以继续往下预习后面内容

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ApacheCN 活动汇总 2019.2

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