saip

9 ms·

1. 31.▲
   by saip 10y ago

   Defending against big players with almost infinite resources is always an interesting problem. Kind of have to hope they don’t come at you head on :) That said, there might be other aspects that come into play. For example, the market is fr
2. 32.▲
   by saip 10y ago

   I’ve heard FBLearner Flow is pretty cool for running/managing/sharing ML pipelines inside Facebook. Never seen or used it myself, but Microsoft had a similar internal tool called AEther that was very cool too. We’ve definitely tak
3. 33.▲
   by saip 10y ago

   Haha, there’s no magic and it’s difficult to say with any certainty that we’re going to make it. When we started out, we were just scratching our own itch. The AI community is amazingly open and fast paced. May be because of that, the tooli
4. 34.▲
   by saip 10y ago

   Thanks for the comment! There's lots of challenges to be solved in this space, and I'm sure there's room for all of us. Excited to see what you guys are up to. I will look forward to your beta release "real soon" :)
5. 35.▲
   by saip 10y ago

   Fully agree! In the longer run, I believe there might be some great opportunities wrt infrastructure. GPUs instances are super expensive (now combine with long runtimes). Self hosting infra at scale can drastically drive down prices 10x+ (w
6. 36.▲
   by saip 10y ago

   Nothing fancy - bought some cheap stock art and my sister, who's a UX designer, modified and brushed them up :)
7. 37.▲
   by saip 10y ago

   We picked this as a starting point to assess demands, e.g. CPU vs. GPU, before scaling out. We'll be adding more tiers very soon. What kind of instance would suit your needs?
8. 38.▲
   by saip 10y ago

   Sounds good! Give it a spin and let us know what you think. If you want a reference - here's a guide we wrote to run Neural Style Transfer ( http://docs.floydhub.com/guides/style_transfer/ )!
9. 39.▲
   by saip 10y ago

   React + Redux for frontend. react-bootstrap + Bootswatch Paper theme for the UI. This was my first foray into anything web related, so it's good to see positive feedback.
10. 40.▲
    by saip 10y ago

    Thanks for the catch. My web development skills are definitely sub-par. Fixed the landing page now, to some extent. Hopefully it's not rendering it unreadable.
11. 41.▲
    by saip 10y ago

    Thanks, that's an awesome comment! Agreed. IMHO, end-to-end reproducibility is important from multiple angles - provenance for research, enabling collaboration, driving down costs by eliminating redundant runs of the same jobs, etc. We
12. 42.▲
    by saip 10y ago

    @Jupyter NB, we charge continuously right now. Charging for compute time only is possible, but an interesting engineering challenge (sandboxing, scheduling, etc.) - We’ll take this as a feature request! :) We’re all in the Oregon data cente
13. 43.▲
    by saip 10y ago

    Thanks - glad you found it useful! The attention and feedback that I got from building dl-docker has been terrific. Definitely one of the reasons we started working on this seriously :)
14. 44.▲
    by saip 10y ago

    Yes, we currently run on AWS! The p2.8xlarge has 8 GPUs, not 16 :) So, it would still boil down to $0.9/hr/GPU. Also, utilizing 8 GPUs concurrently is pretty difficult/inefficient for most jobs since benefits from paralleliza
15. 45.▲
    by saip 10y ago

    Thanks! We've been iterating on it for a while. My sister is a UX designer and helped a ton. I still think there's room for improvement, but it's great to hear a positive comment about it!
16. 46.▲
    by saip 10y ago

    ML-as-a-service offered by many companies (Microsoft Cognitive Services, Google Cloud Prediction, IBM Watson, etc.) are fairly similar. They're great out-of-the-box for some domains, say English speech recognition. For others (text&#x2
17. 47.▲
    by saip 10y ago

    I assume you're talking about AzureML Studio. It's a pretty neat UI-centric tool for building machine learning workflows! It's great if you're starting out with ML, but offers little in terms of customizability. For exam
18. 48.▲
    Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

    178 points by saip 10y ago|85 comments
19. 49.▲
    by saip 10y ago

    Agreed. The tooling around deep learning is not as mature as the tooling around software development. There is a fair amount of engineering and grunt work needed to even get started, let alone build on others' research. A few problems
20. 50.▲
    by saip 10y ago

    Agreed. The tooling around deep learning is not as mature as the tooling around software development. There is a fair amount of engineering and grunt work needed to even get started, let alone build on others' research. A few problems
21. 51.▲
    An All-In-one Docker Image for Deep Learning(github.com)

    4 points by saip 10y ago|0 comments