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List:       incubator-cvs
Subject:    =?utf-8?q?=5BIncubator_Wiki=5D_Update_of_=22January2018=22_by_smarthi?=
From:       Apache Wiki <wikidiffs () apache ! org>
Date:       2017-12-31 23:51:30
Message-ID: 151476429076.12010.4657093362749343658 () moin-vm ! apache ! org
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Dear Wiki user,

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The "January2018" page has been changed by smarthi:
https://wiki.apache.org/incubator/January2018?action=diff&rev1=24&rev2=25

Comment:
Adding MxNet Podling Report

  --------------------
  MXNet
  
- A Flexible and Efficient Library for Deep Learning
+ Apache MXNet is an open-source, scalable, distributed and high-performance deep \
learning framework that allows you to define, train, and deploy deep neural networks \
on a wide array of devices, from cloud infrastructure to mobile devices. It is highly \
scalable, allowing for fast model training, and supports a flexible programming model \
and multiple languages. Apache MXNet allows you to mix symbolic and imperative \
programming flavors to maximize both efficiency and productivity. Apache MXNet is \
built on a dynamic dependency scheduler that automatically parallelizes both symbolic \
and imperative operations on the fly. A graph optimization layer on top of that makes \
symbolic execution fast and memory efficient. The Apache MXNet library is portable \
and lightweight, and it scales to multiple GPUs and multiple machines.  
+ 
- MXNet has been incubating since 2017-01-23.
+ Apache MXNet has been incubating since 2017-01-23.
  
  Three most important issues to address in the move towards graduation:
  
-   1.
-   2.
-   3.
+   1. Establish a predictable release process consistent with Apache Way -- ONGOING.
+   2. Grow the community -- ONGOING.
+   3. Bring website up to Apache standard -- ONGOING
+   4. Identify remaining ICLAs or SGAs that need signing -- ONGOING
  
  Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
  aware of?
  
+  None
  
- 
- How has the community developed since the last report?
- 
- 
- 
- How has the project developed since the last report?
+ How has the community developed since the last report?
  
+ a) Various Slack channels, dev@ mailing lists, and user discussion forums \
(http://discuss.mxnet.io) are being used actively. The contributors have been working \
on having all discussions on the public dev@ mailing list as much as possible. If \
some discussions happen in private, they are eventually brought out on dev@ with all \
perspectives well-represented. This is an ongoing improvement process where the focus \
will be to reduce the scope of private discussions to only a few individuals before \
it is put on the public dev@ mailing list so that the Apache MXNet community gets a \
fair chance in influencing the final outcome/decision of the discussion. +  
+  b) O'Reilly published a series of blogs about MXNet, including ones with deep \
matrix factorization using Apache MXNet: + \
https://www.oreilly.com/ideas/sentiment-analysis-with-apache-mxnet + \
https://www.oreilly.com/ideas/deep-matrix-factorization-using-apache-mxnet + \
https://www.oreilly.com/ideas/apache-mxnet-in-the-wolfram-language +  
+  c) A blog post published on 25-Oct about MXNet – an open source binary neural \
network implementation based on MXNet: \
https://aws.amazon.com/blogs/ai/research-spotlight-bmxnet-an-open-source-binary-neural-network-implementation-based-on-mxnet/
 +  
+  d) A blog post published on 01-Nov about the availability of Nvidia Volta GPU \
support and Sparse Tensor support: \
https://aws.amazon.com/blogs/ai/apache-mxnet-release-adds-support-for-new-nvidia-volta-gpus-and-sparse-tensor/
 +  
+  e) A new blog post published on 08-Nov showing MXNet 0.12 extends Gluon \
Functionality: https://aws.amazon.com/blogs/ai/apache-mxnet-version-0-12-extends-gluon-functionality-to-support-cutting-edge-research/
 +  
+  f) A blog post published on 08-Nov introducing Model Server for MXNet: \
https://aws.amazon.com/blogs/ai/introducing-model-server-for-apache-mxnet/ +  
+  g) A blog post published on 7-Nov demonstrating performance and scalability of \
MXNet: https://techburst.io/mxnet-the-real-world-deep-learning-framework-2690e56ef81f \
+   +  h) Members of the community have conducted open meetups to share information \
on Apache MXNet: https://www.meetup.com/Apache-MXNet-learning-group/ +  
+ i) Talks on Apache MXNet have been held in various universities and conferences \
across the world including US, China, etc.: + \
https://www.youtube.com/watch?v=me1qOzSg8MU + \
https://www.youtube.com/watch?v=9IrvDHRQaaA + \
https://www.youtube.com/watch?v=4PbSZRYXa3o + \
https://www.youtube.com/watch?v=RRy-3VXA0nw +  
+ j)  MXNet 1.0 was released on 04-Dec, 2017 with extensive support and help from \
various community members and timely guidance from the Apache MXNet Mentors.  
+ How has the project developed since the last report?
- How would you assess the podling's maturity?
- Please feel free to add your own commentary.
  
+ a.  The community released MXNet 1.0 that is production ready, simplifies deep \
learning experience, and significantly improves performance with cutting-edge \
features described here: \
https://blogs.apache.org/mxnet/entry/milestone-v1-0-release-for +  
+ b.  From a statistics perspective, based on the Github insights, found here: \
https://github.com/apache/incubator-mxnet/pulse/monthly, in Dec 2017, 51 authors \
pushed 115 commits to master, with updates to 489 files including 13K additions and \
9K deletions. Historically, in Sep 2017, 62 authors pushed 171 commits to master, \
with updates to 467 files including 26K additions and 7K deletions. Historically, in \
July 2017, 54 authors pushed 140 commits to master, with updates to 358 files \
including 22K additions and 3K deletions. We are working on finding more contributors \
to the project. +  
+ c. Documentation- Architecture guides, How To's, Tutorials, and APIs continue to be \
improved. + 
+ d. Support for Perl language bindings - contributed by Sergey Kolychev.
+  
+ e. More advanced features (e.g. sparse tensor, advanced indexing, gradient \
compression) and bug-fixes requested by the user community continue to be added. + 
+ f. Community took complete end-to-end ownership of the continuous integration \
process in order to enable reliable testing on a wide set of back ends (IoT devices \
to GPU clusters). + 
+ 
+ 
+ How would you assess the podling's maturity?
+ 
+   Podling is still being established in Apache - hence maturity == Low.
+ 
+ Please feel free to add your own commentary.
+ 
    [ ] Initial setup
    [ ] Working towards first release
-   [ ] Community building
+   [X] Community building
    [ ] Nearing graduation
    [ ] Other:
  
  Date of last release:
  
-   XXXX-XX-XX
+   2017-12-04
  
  When were the last committers or PPMC members elected?
  
+ Sergey Kolychev was elected as a committer and PPMC member in October 2017 for \
contributing the Perl language bindings.  + There is a plan to convert more \
contributors into committers in early 2018.  
  
  Signed-off-by:

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