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ApacheCN 活动汇总 2019.2

ApacheCN 活动汇总 2019.2

作者: 布客飞龙 | 来源:发表于2019-02-09 11:19 被阅读12次

    招贤纳士

    • 征集网站设计人员(设计网站整体布局和未来)
    • 踊跃号召敢兴趣参与项目维护的负责人(各个学习领域)
    • 欢迎做实事的人参与到组织建设中来(开源不是一个人的事,一起来做对开源有价值的社区吧!)
    • 联系方式 QQ: 529815144 (权利分配灵活:能者居之!欢迎你们的到来)

    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

    比赛组队

    (暂无)

    图书捐赠

    捐赠不只是眼前的物质和现金,还有书和智慧

    【点击参与】

    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

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