Thanks, I will check it out. Great dlj library with the reference JSR implementation, I have not seen yet this repo.
Will return in a few weeks with suggestions on JSR mailing list Sincerely yours, Alexey Zinoviev ср, 1 апр. 2020 г., 18:49 Zoran Sevarac <[email protected]>: > 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 <[email protected]>: >> >>> On Tue, Mar 31, 2020 at 3:03 PM Alexey Zinoviev <[email protected]> >>> 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 <[email protected]>: >>>> >>>>> 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 >
