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  1. prije 2 sata

    There's a general mistake of imposing a one-way information flow from "business requirements" to "technical implementation". Performance is just one area (among many) where the technical implementation determines how a system gets used and what it can be used for.

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  2. proslijedio/la je Tweet
    31. sij

    Developers: *Build terrible monolith* "This isn't working. Let's try something else" Developers: *Build terrible microservices* "Wait—this isn't working either."

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  3. 30. sij

    Timely post on Jax’s vmap in Haskell by . Will have to give these ideas a try in !

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  4. 28. sij

    Interesting writeup on “compiling” a Pearl causal DAG down to a well-defined Bayesian computation.

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  5. proslijedio/la je Tweet
    27. sij

    Haskell-ide-engine and Ghcide teams are joining forces to work on a single Haskell IDE. See for details. With , and many contributors from both sides.

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  6. proslijedio/la je Tweet
    26. sij

    If you want to learn about privacy-preserving machine learning, then there is no better resource than this step-by-step notebook tutorial by . From the basics of private deep learning to building secure ML classifiers using PyTorch & PySyft.

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  7. proslijedio/la je Tweet
    25. sij
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  8. 24. sij

    Periods of change are notable for the appearance of narrow waists (with broad impact) that are amorphous and open to redefinition. Those are circumstances under which focused efforts of individuals have a high degree of leverage.

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  9. 24. sij

    Thanks for the shout out :) It’s true that differentiable programming tech stacks take substantial effort. They also define the space of what gets built and researched. In this way they’re sort of a “narrow waist” in the systems sense.

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  10. proslijedio/la je Tweet
    24. sij

    [ANN] Happy to release my new library, 'mutable', for "beautiful mutable values". Automatically generate composable piecewise-mutable references for your data types.

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  11. 22. sij

    Pretty interesting writeup on a trade off between memory locality performance and concurrency in garbage collection.

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  12. 22. sij

    Have been curious about WFC since coming across this procgen city a while back by Generates some pretty impressive results.

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  13. proslijedio/la je Tweet
    21. sij

    an interesting project from MSR named Verona just got open sourced. inspired by languages like Rust. it has a concept of regions (not to be confused with what regions generally means in GC) to encapsulate object lifetime. explained in

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  14. proslijedio/la je Tweet
    21. sij
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  15. 21. sij

    Due to compute limitations of the era, hierarchical modeling was relegated to existing as an avant garde form of comedy in the 90s.

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  16. proslijedio/la je Tweet
    19. sij

    It is absolutely astonishing how quickly was able to put this together: has fully migrated to libtorch 1.4.0! Thank you Junji!

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  17. proslijedio/la je Tweet
    15. sij

    v1.4: customizable mobile builds, Distributed Model Parallelism via experimental RPC API, Java Bindings, Chaining LRSchedulers Summary: Release Notes: Last release for Python 2 (bye bye!)

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  18. proslijedio/la je Tweet
    15. sij

    Specifics of attribution methods to me often have a feeling of arbitrariness to them, one aspect of which is explored in a new paper by , , and : the choice of a baseline input.

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  19. 15. sij

    Nice slides summarizing the view of neural networks as differentiable programs.

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  20. proslijedio/la je Tweet
    14. sij

    this is part of a short "how containers work" series I'm slowly working on, you can see more parts here:

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