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agibsonccc

HN member
Joined
Sat, Jan 28, 2012, 6:33 PM UTC
HN karma
1,236
Public activity
771 items

About agibsonccc

Contact me: agibsonccc@gmail.com

Founder of: http://konduit.ai/

Deep Learning guy. www.linkedin.com/in/agibsonccc/

Github: https://github.com/agibsonccc/

Twitter: @agibsonccc

Author: http://deeplearning4j.konduit.ai/

Based in Tokyo (yes not San Francisco)

Recent public activity

  1. comment
    Comment #37703370

    I've been looking in to this for the java world. What's your use case? Deployment in to existing applications?

  2. comment
    Comment #28823278

    Disclaimer: I am involved with the eclipse foundation (not as part of the core staff) Hi, I just want to expand on this a bit... The "eclipse foundation" is actually not just spons…

  3. comment
    Comment #23597117

    If something were to be more "neutral" what would you hope to see exactly? Something performant is typically going to be framework/hardware specific.

  4. comment
    Comment #23596892

    Hi Fareesh, I'd love to hear more about your use case. Email's in my profile.

  5. comment
    Comment #23596881

    Hi, could you describe your use case a bit? Just an alarm trigger for deer in the backyard?

  6. comment
    Comment #23596822

    Could you elaborate on some of the problems you had overall?

  7. comment
    Comment #23596818

    Few questions: 1. Did you build this for your own use cases? Interesting side project? 2. How do you feel about the need for base64 being a requirement on the endpoints? Isn't GRPC…

  8. comment
    Comment #23596786

    How did you set it up on the software side though? How flexible/customizable was it?

  9. comment
    Comment #21832024

    Your concerns are right on point. I agree that spark is a great sql/etl tool. My thinking was on the "math execution" part. Ray is able to doa bit more there. I do feel like there …

  10. comment
    Comment #21830932

    It's still pretty early days for ray yet. That being said, spark never really got the hang of doing machine learning properly. It "works" but not for newer workloads which ray is t…

  11. comment
    Comment #20194658

    Graal itself still has limitations with many libraries yet, the biggest one being having any library that heavily uses reflection. I'd look at some of the work red hat is doing wit…

  12. comment
    Comment #20194651

    "Analytics" generally means "cython only". The numpy dep ends up being a problem. Generally if you want python/java interaction, we maintain a tool called javacpp that handles this…

  13. comment
    Comment #19448617

    Tech side here if you have any other questions!

  14. comment
    Comment #19448402

    Thanks Nikk!

  15. comment
    Comment #19448399

    We control the whole framework down to the bare metal. We also have our own built in memory allocators. There's a bit more to jvm than just training models. Java based application …

  16. comment
    Comment #19448380

    Thanks! Of note is we also contribute to keras and run javacpp: https://github.com/bytedeco/javacpp which allows us to run a lot of things you only get in python directly in c. We …

  17. comment
    Comment #19131550

    I'd argue in general that outside of python, there's not really much of a focus from google itself. They are largely leaving other language bindings to other people (see what's cur…

  18. comment
    Comment #19041145

    Have you guys looked at the tidelift model in comparison? Would love to hear thoughts there.

  19. comment
    Comment #18756554

    I was there from 2008 to 2013. This gives a fairly good break down: https://www.mtu.edu/alumni/favorites/snowfall/ I saw a lot of snow storms there over the years. Neat fact: The h…

  20. comment
    Comment #18756162

    I went to university in the Keewenaw (Michigan Tech). It's also where I started learning how to run a company. I spent 5 years of my life there. Happy to answer questions about any…

  21. comment
    Comment #18615201

    Hey folks: Sorry I just saw this post. We're actually intending on implementing allreduce as well. Right now, the initial focus was on implementing something more robust. There's a…

  22. comment
    Comment #18585651

    Thanks! Usually dl4j is targeted at data engineers, not python folks. We actually have the end to end system working.

  23. comment
    Comment #18585099

    Hi Mark, I want to correct one thing. My company is behind dl4j. We are also the second largest contributor to keras. We have near perfect model import (with keras contributors mai…

  24. comment
    Comment #18498890

    Congrats Plangrid. I was your neighbor back in 2014. I remember when you guys needed to expand your office and you were looking to start using some of the space we were subletting …

  25. comment
    Comment #18493412

    Sure! So our model server usually replaces a bunch of docker containers with different standards with zero ways of inputting data. An interesting example was a customer that bought…