> > I look on the https://djl.ai, it seems a little bit different with JSR > (but close in builders), also as I understand (looking in sources) they > don't support TF engine yet > Is it a mature framework, how do you think? >
It is relatively new but very promising in my opinion. TF support is not publically available but they do have it. And also they provide implementation of JSR381 at https://github.com/JavaVisRec/visrec-djl They have recently joined JSR381 > Happy to join the unification movement in Java DL, where is the best place > to leave feedback about specification? Here, in this thread or on another > mailing list? > For the initial feedback please use the official JSR381 mailing list at https://groups.io/g/visrec Best Zoran > > Sincerely yours, > Alexey Zinoviev > > ср, 1 апр. 2020 г. в 16:59, Zoran Sevarac <seva...@gmail.com>: > >> On Tue, Mar 31, 2020 at 3:03 PM Alexey Zinoviev <zaleslaw....@gmail.com> >> wrote: >> >>> Nice to see all of you guys (thanks Vladimir) here on dev-list of Apache >>> Ignite that includes distributed ML. >>> >> >> Nice to meet you too Alexey, and thanks to Vladimir for introducing us to >> this community. >> >> >>> First of all, want to say thank you for your great work to build specs >>> to the Java world, hope it will be helpful for Java devs in the nearest >>> future. >>> In the second, a few days ago I found a link >>> <https://twitter.com/frankgreco/status/1242885726196424712> in Frank >>> Greco twitter to this JSR and read a few examples to understand the >>> proposed API. >>> Also, we (in Apache Ignite ML) have experimental integration with >>> TensorFlow for inference and distributed training purposes and I'm >>> interested in TF Java API development and DL4j/PyTorch possible >>> integration. >>> Will be great to have common API for different implementations. >>> >> >> Great, we're interested to hear about your experience with these libs, >> and requirements for distributed training. I also saw >> https://apacheignite.readme.io/docs/machine-learning it looks like >> something different from Tensorflow integration? I guess it would make >> sense for end-users to use the same API for the same task regardless of the >> backend library. >> By the way, I recommend that you take a look at https://djl.ai it's deep >> learning library from Amazon which is a Java wrapper around MxNet, TF and >> PyTorch, they also participate in JSR381, and have provided initial >> implementation. >> >> >>> P.S. From my side, I've ready to join your team if the specification is >>> not finished yet, because I have a few comments and thoughts based on my >>> experience of different API usage. A few weeks ago I also joined to the >>> developer group of JVM API for TensorFlow (SIG JVM), hope it will be >>> helpful in both directions to communicate each other. >>> >> >> Sounds good, at this phase we're looking for the input and feedback from >> various communities in order to make API that will meet their needs. >> So we would definitely like to hear your thoughts and we're open to adapt >> the specification. >> >> Best regards >> Zoran >> >> >> >>> >>> пн, 30 мар. 2020 г. в 21:00, Vladimir Ozerov <ppoze...@gmail.com>: >>> >>>> Hi Alexey, Igniters, >>>> >>>> Let me introduce you Heather, Zoran, and Frank. Heather is the Chair of >>>> the JCP. Zoran and Frank are JSR 381 spec leads. They are interested in >>>> discussing the upcoming visual recognition specification with the Apache >>>> Ignite community, to understand whether the community has any interest in >>>> implementing it. >>>> >>>> Zoran and Frank, >>>> >>>> Please meet Alexey Zinoviev, who is the principal maintainer of the >>>> Apache ML module. I hope he will be able to help you with your questions. >>>> >>>> Regards, >>>> Vladimir. >>>> >>> >> >> -- >> Zoran Sevarac, PhD, Associate Professor >> University of Belgrade, Faculty of Organisational Sciences, Department >> for Software Engineering >> Java Champion >> <https://community.oracle.com/community/java/java-champions> | Oracle >> Groundbreaker Ambassador | Deep Netts <http://www.deepnetts.com> >> Co-founder & CEO >> > -- Zoran Sevarac, PhD, Associate Professor University of Belgrade, Faculty of Organisational Sciences, Department for Software Engineering Java Champion <https://community.oracle.com/community/java/java-champions> | Oracle Groundbreaker Ambassador | Deep Netts <http://www.deepnetts.com> Co-founder & CEO
