empirical

@empiricalci

Accelerating the state of the art

Santa Monica, CA
empiricalci.com
Joined February 2016
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  1. Mar 23

    We've released emp@v0.6.0 and updated the dashboard. Learn more about the updates here:

    3 retweets 4 likes
  2. Retweeted
    Mar 22

    Research Debt -- A Distill Editorial by &

    14 replies 134 retweets 169 likes
  3. Retweeted
    Jan 18

    is probably the best thing to happen to machine learning (if it becomes popular enough). Great stuff !

    1 reply 2 retweets
  4. Retweeted
    Jan 17

    Engineering is the bottleneck in (Deep Learning) research - I just had to write up a little rant ;)

    19 replies 181 retweets 362 likes
  5. 4 Dec 2016

    This is great! more tools for running and evaluating AI.

    We're releasing Universe, a platform for measuring and training AI agents:
    1 like
  6. 23 Nov 2016

    "The scientists who do the most experiments, and test the most hypotheses, are the ones with the big contributions."

    "They found that the best predictor of exceptional creativity is productivity."
    1 like
  7. 6 Nov 2016

    A GPU enabled AMI for Deep Learning

    2 likes
  8. 7 Oct 2016

    Empirical is windows compatible as of v0.4.0

    2 retweets 2 likes
  9. 27 Sep 2016

    Yes, we are! :)

    Intriguing: is Dockerized CI specifically for computational experiments. Has alpha local builds now, cloud service to come.
    2 likes
  10. 26 Sep 2016

    Empirical is ready for testing. We're doing a Show HN. Vote for us and post your questions/feedback here:

    4 retweets 4 likes
  11. 30 Aug 2016

    "Deep learning is an empirical science, and the quality of a group's infrastructure is a multiplier on progress"

    How we've built our deep learning infrastructure, plus an open-source release:
    1 reply 1 retweet 1 like
  12. 23 Jun 2016

    "researchers repeatedly code their experiments from scratch and march over the same ground (...) slows development"

    4 likes
  13. 11 May 2016

    A Reboot of the Legendary Physics Site ArXiv Could Shape Open Science via

  14. 10 May 2016

    "the largest improvements in accuracy often came from quick experiments..." We definitely agree.

    Introducing FBLearner Flow: Facebook's AI Backbone
    1 like
  15. Retweeted
    1 May 2016

    “Extremely angry with the state of academic CS research right now”

    1 reply 16 retweets 29 likes
  16. 28 Apr 2016

    We're building a platform for reproducible science. Ask us anything on Hacker News:

    1 reply 2 likes
  17. Retweeted
    27 Apr 2016

    Our reinforcement learning toolkit, OpenAI Gym, is now in public beta: .

    26 replies 706 retweets 1,279 likes
  18. Retweeted
    21 Apr 2016

    Datasets play crucial roles in advancing AI. helped to enable the latest deep learning advances.

    2 replies 103 retweets 173 likes
  19. 14 Apr 2016

    Great! Making your approach self-contained and portable is the first step for easy reproducible research.

    Reproducible Research: Citing your execution env using and a DOI: via
  20. 30 Mar 2016

    Microsoft is bringing the Bash shell to Windows 10 via . Great news for developers on Windows!

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