MxNet is not due to report for Aug 17, so we can disregard this.
On Mon, Jul 31, 2017 at 4:40 PM, Bhavin Thaker <[email protected]> wrote: > Hi All, > > > > Please review the Podling Report for August 2017 so that we can file on > time. Feel free to make updates to this shared Google doc directly. > > > > https://docs.google.com/document/d/1PGhs96klZB6DXhpK9_ > biPh4-aCm8-bWwFzexnOW_GMA/edit > > > > Given below is the current snapshot of the report – it may change as > updates are made directly to the above shared Google doc. > > > > --snip— > > *MXNet* > > > > MXNet is an open-source 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. > > > > MXNet has been incubating since 2017-01-23. > > > > *Three most important issues to address in the move towards graduation:* > > > > 1. Migrate code (GitHub) and website to Apache Infra. > > 2. Establish a predictable release process consistent with Apache Way. > > 3. Grow the community. > > > > *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?* > > > > 1. Various Slack channels and dev@ mailing lists are being used > actively. > 2. A new blog published on OReilly web-site on 27-July having > step-by-step instructions to implement a convolutional neural network to > classify traffic signs with Apache MXNet: > > https://www.oreilly.com/ideas/classifying-traffic-signs- > with-mxnet-an-introduction-to-computer-vision-with-neural-networks > > 1. A new blog post published on 28-July showing users how to exploit the > unique features of Apache MXNet with a cheat sheet: > > https://aws.amazon.com/blogs/ai/exploiting-the-unique- > features-of-the-apache-mxnet-deep-learning-framework-with-a-cheat-sheet/ > > > > *How has the project developed since the last report?* > > > > 1. The code base was migrated from http://github.com/dmlc/mxnet to > https://github.com/apache/incubator-mxnet on 28-July, 2017. > 2. From a statistics perspective, 54 authors have pushed 140 commits to > master, with updates to 358 files including 22K additions and 3K > deletions. > 3. Documentation- Architecture guides, How To’s, Tutorials, and APIs > continue to be improved. > 4. More features (e.g. operators, algorithms) and bug-fixes requested by > the user community continue to be added. > > > > *How would you assess the podling's maturity?* > > > > Podling's still getting established in Apache - so maturity == Low. > > > > Please feel free to add your own commentary. > > [X] Initial setup > > [ ] Working towards first release > > [ ] Community building > > [ ] Nearing graduation > > [X] Other: A maintenance release is being planned for August 2017 > > > > *Date of last release:* > > > > A maintenance release MXNet 0.10.0 Post 2 with few bug-fixes was released > on 17-July, 2017. > > https://github.com/apache/incubator-mxnet/releases/tag/0.10.0.post2 > > > > *When were the last committers or PPMC members elected?* > > > > Ly Nguyen added as a committer and PPMC member in June 2017. > > > > *Signed-off-by:* > > [ ](mxnet) Sebastian Schelter > > Comments: > > [ ](mxnet) Suneel Marthi > > Comments: > > [ ](mxnet) Markus Weimer > > Comments: > > [ ](mxnet) Henri Yandell > > Comments: > > > > --snip— > > > > Thanks, > > Bhavin Thaker. >
