Rezultati pretraživanja
  1. prije 3 sata

    After much writing, rewriting and more rewriting, the PopGen.jl genepop file importer uses up to 68% less RAM while retaining the same speed! Huge acknowledgement to leveraging CSV.jl and inspiration from hierfstat internals.

  2. Got a minute? 60 seconds? Well, that's enough time to train a neural ODE all the way to its minimum with CPUs on a laptop while recording a video. This is made possible by the improved DiffEqFlux.jl tooling.

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  3. prije 20 sati

    Unfortunately I haven't been able to dedicate time to lately which has been moving forward much too slowly. Regardless, I look forward at attending and bring the focus back to development. Anyone willing to chat about , DM welcome

  4. prije 22 sata

    I tried graphing the package ecosystem and the inter-dependencies of all the packages... But it's very difficult to represent it well - there are just too many edges, and it ends up being an artistic impression... Compat is still quite popular... :)

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  5. prije 22 sata
    Odgovor korisnicima

    is great for long running tasks; at present it’s not useable for rapid iteration (extremely high initial latencies).. i’d suggest wait for 2.0

  6. prije 23 sata

    My motivation is to show people how fun and productive programming is. It is not just for academics. I began programming to make games, so the fun factor has always been something I value. If you learn important lessons from fun or silly code, that is all that matters.

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  7. prije 23 sata

    Looking forward to having both a talk and a workshop on at the in Bristol, UK this March 24th! If you can't make it check out our Julia training .

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  8. 4. velj

    I am really grateful I got involved with open source programming. The community I am part of and what I have learned really changed my life. Thanks everyone

  9. The new multithreading runtime in Julia unleashes the full power of modern CPUs with minimum hassle. See how in this issue of The Parallel Universe.

  10. 3. velj

    We just released our own implementation of reactive programming extensions for Julia. It is almost an exact port of RxJS from ReactiveX (not all features has been implemented yet). Gladly invite you to check it out:

  11. 3. velj

    solves this two language problem, . No need to convert Python to C++, deploy what you develop to production!

  12. 3. velj

    Kick-starting the Barcelona Julia Meetup: Join us for the February Julia Get-Together

  13. 3. velj

    is now part of the Github sponsors program. Support the project through one of the many sponsorship tiers:

  14. 3. velj

    Do you want marine carbonate system calculations with CO2SYS and do you want them in ? Then look no further: (PS also available in : )

  15. 3. velj
    Odgovor korisniku/ci

    In the future you could consider Julia, gives python style rapid prototyping with C++ style performance. No second rewrite step needed. Has great machine learning libraries and easily runs on GPUs and other specialized hardware

  16. 1. velj

    . will be presenting a 'Machine Learning with ' here this afternoon. Come say Hi

  17. 31. sij

    Celebrating the first 1000 stars on GitHub

  18. 31. sij

    has the right allocations, she’s fast and thorough and sharp as a tack. She’s the language in a short skirt and a loooooong jacket 😍.... now I’m craving cake with my AI / Machine Learning project 🤪

  19. 30. sij

    Nice to see addressing what was arguably the change that most annoyed users in the 1.0 cleanup:

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