Dear Mentors - please find attached podling report for April 2018.
Please approve or provide feedback.
Apologize for the delay.

Steffen

On Sun, Apr 8, 2018 at 7:23 AM John D. Ament <johndam...@apache.org> wrote:

> Just to point out - the report was due on 4/4.  You'll need to get the
> report in very early to ensure your mentors can review.
>
> On 2018/04/08 01:45:46, Steffen Rochel <steffenroc...@gmail.com> wrote:
> > Hi John - we will get a report out tomorrow (Sunday PDT).
> > Steffen
> >
> > On Sat, Apr 7, 2018 at 5:19 PM John D. Ament <johndam...@apache.org>
> wrote:
> >
> > > Is anyone available to write the report?  Need some kind of response
> from
> > > the podling...
> > >
> > > On 2018/04/03 02:43:12, Hen <bay...@apache.org> wrote:
> > > > Board report time. Any committer available to write something?
> > > >
> > > > Reminder of the template:
> > > >
> > > > MXNetA Flexible and Efficient Library for Deep LearningMXNet has been
> > > > incubating since 2017-01-23.Three most important issues to address in
> > > > the move towards graduation:  1.  2.  3.Any issues that the Incubator
> > > > PMC (IPMC) or ASF Board wish/need to beaware of?How has the community
> > > > developed since the last report?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.  [ ] Initial setup  [ ] Working
> > > > towards first release  [ ] Community building  [ ] Nearing graduation
> > > > [ ] Other:Date of last release:  XXXX-XX-XXWhen were the last
> > > > committers or PPMC members elected?
> > > >
> > > >
> > > > ----
> > > >
> > > > Previous board report is in here:
> > > >
> > >
> https://www.apache.org/foundation/records/minutes/2018/board_minutes_2018_01_17.txt
> > > >
> > > > Hen
> > > >
> > > > On Mon, Apr 2, 2018 at 3:50 PM, <johndam...@apache.org> wrote:
> > > >
> > > > >
> > > > >
> > > > > This should be appended to the Incubator Wiki page at:
> > > > >
> > > > > https://wiki.apache.org/incubator/April2018
> > > > >
> > > >
> > >
> >
>
Podling Report for Apache MXNet
 
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. MXNet allows you to mix 
symbolic and imperative programming flavors to maximize both efficiency and 
productivity. 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 MXNet library is portable and lightweight, and it scales 
to multiple GPUs and multiple machines.
 
 
Apache MXNet has been incubating since 23-Jan, 2017.
 
Four most important issues to address in the move towards graduation:
 
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?
 
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. 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:
https://www.oreilly.com/ideas/anomaly-detection-with-apache-mxnet
https://www.oreilly.com/ideas/logo-detection-using-apache-mxnet
https://www.oreilly.com/ideas/generative-model-using-apache-mxnet
https://www.oreilly.com/ideas/build-a-recurrent-neural-network-using-apache-mxnet

c) A new blog post published on 5-Feb about MXNet Model Server for Apache MXNet 
introduces ONNX support and Amazon CloudWatch integration
https://aws.amazon.com/blogs/machine-learning/model-server-for-apache-mxnet-introduces-onnx-support-and-amazon-cloudwatch-integration/

d) A new blog post published on 13-Mar about MXNet - Deploy Gluon Models to AWS 
DeepLens using a simple Python API
https://aws.amazon.com/blogs/machine-learning/deploy-gluon-models-to-aws-deeplens-using-a-simple-python-api/

e) Borealis AI (AI lab of Royal Bank of Canada) published a new blog post on 
Feb about the comparison between PyTorch and MXNet Ð Standardizing a machine 
learning framework for applied research Ð PyTorch vs MXNet
http://www.borealisai.com/2018/02/16/standardizing-a-machine-learning-framework-for-applied-research/

f) Microsoft AI research published a new blog post on Mar about the performance 
comparison between multiple frameworks including MXNet Ð Comparing deep 
learning frameworks: A Rosetta stone approach
https://blogs.technet.microsoft.com/machinelearning/2018/03/14/comparing-deep-learning-frameworks-a-rosetta-stone-approach/

g) Beeva Labs published a new blog post on Feb about MXNet Ð Accelerating the 
training of deep neural networks with MXNet on AWS P3 instances
https://www.bbva.com/en/accelerate-training-deep-neural-networks-mxnet-aws-p3-instances/

h) Webinars and talks on Apache MXNet on the social media platform:
https://www.youtube.com/watch?v=DSNvm29kIAo
https://www.youtube.com/watch?v=kINQpQiee7g
https://www.youtube.com/watch?v=kWgCbjtsAAM
https://www.youtube.com/watch?v=YjDTL_Kjfww

i) Thomas Delteil spoke at Meetup in Vancouver - 
https://www.meetup.com/LearnDataScience/events/248473200/?rv=ea1&_xtd=gatlbWFpbF9jbGlja9oAJDA0ODlhZGJjLWQ0YzYtNDJmOC04MDFiLTZiMWU1OWEwOWEwYw
 - and talked about Convolutional Neural Networks for NLP

j) A public meeting is planned for April 24th in Seattle - 
https://cwiki.apache.org/confluence/display/MXNET/Seattle

k) MXNet 1.2 release is in preparation and release notes are being reviewed at 
https://cwiki.apache.org/confluence/display/MXNET/%5BWIP%5D+Apache+MXNet+%28incubating%29+1.2.0+Release+Notes

l) Community voted and adopted Jira for issue management - 
https://issues.apache.org/jira/projects/MXNET/issues/MXNET-267?filter=allopenissues

m) MXNet 1.1 was released on 19-Feb, 2018 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?
 
a. The community released MXNet 1.1 that makes MXNet more stable and production 
ready: https://blogs.apache.org/mxnet/entry/1-1-0-release-makes

b. From a statistics perspective, based on the Github insights, found here: 
https://github.com/apache/incubator-mxnet/pulse/monthly, in Mar 2018, 60 
authors pushed 164 commits to master, with updates to 624 files including 23.1K 
additions and 5.6K deletions. Historically, 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. 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. More advanced features (e.g. ONNX support, mixed precission modeling, Scala 
inference API, MKL-DNN integratino etc) and bug-fixes requested by the user 
community continue to be added.
 
How would you assess the podling's maturity?
 
 Podling is still being established in Apache - hence maturity == Low.
 
 
 [ ] Initial setup
 [ ] Working towards first release
 [X] Community building
 [ ] Nearing graduation
 [ ] Other
 
Date of last release: (latest to oldest releases)
i) A major release Apache MXNet-incubating 1.1.0 was released on 19-Feb, 2018.
 https://github.com/apache/incubator-mxnet/releases/tag/1.1.0

When were the last committers or PPMC members elected?

Jan 18 2018 - Marco de Abeu elected as committer and PPMC member
 

 
Signed-off-by:
 
 [ ](mxnet) Sebastian Schelter
 Comments:
 [ ](mxnet) Suneel Marthi
 Comments:
 [ ](mxnet) Markus Weimer
 Comments:
 [ ](mxnet) Henri Yandell
 Comments:

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