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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.https://twitter.com/nelhage/status/1224144074808033281 …
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Austin Huang proslijedio/la je Tweet
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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Timely post on Jax’s vmap in Haskell by
@ezyang. Will have to give these ideas a try in@hasktorch!https://twitter.com/Jose_A_Alonso/status/1222823201073397760 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Interesting writeup on “compiling” a Pearl causal DAG down to a well-defined Bayesian computation. https://gradientinstitute.org/blog/6/ https://twitter.com/StatModeling/status/1221971278220926977 …
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Austin Huang proslijedio/la je Tweet
Haskell-ide-engine and Ghcide teams are joining forces to work on a single Haskell IDE. See https://neilmitchell.blogspot.com/2020/01/one-haskell-ide-to-rule-them-all.html … for details. With
@cocreature,@alan_zimm and many contributors from both sides.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Austin Huang proslijedio/la je Tweet
If you want to learn about privacy-preserving machine learning, then there is no better resource than this step-by-step notebook tutorial by
@iamtrask. From the basics of private deep learning to building secure ML classifiers using PyTorch & PySyft.https://github.com/OpenMined/PySyft/tree/master/examples/tutorials …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Austin Huang proslijedio/la je Tweet
Presented without comment.https://twitter.com/TensorFlow/status/1220466266399498240?s=20 …
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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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Thanks for the
@hasktorch 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.https://twitter.com/smdiehl/status/1220405055058251776 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Austin Huang proslijedio/la je Tweet
[ANN] Happy to release my new
#haskell library, 'mutable', for "beautiful mutable values". Automatically generate composable piecewise-mutable references for your data types.https://mutable.jle.im/Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Pretty interesting writeup on a trade off between memory locality performance and concurrency in garbage collection.https://twitter.com/welltyped/status/1188855440530202625 …
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Have been curious about WFC since coming across this procgen city a while back by
@marian42_ https://marian42.de/article/wfc/ Generates some pretty impressive results.https://twitter.com/kmett/status/1219926443599073281 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Austin Huang proslijedio/la je Tweet
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 https://github.com/microsoft/verona/blob/master/docs/explore.md …https://twitter.com/ParkyMatthew/status/1217901942443270147 …
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Austin Huang proslijedio/la je Tweet
POPL 2020 talks appearing onlinehttps://www.youtube.com/channel/UCwG9512Wm7jSS6Iqshz4Dpg/videos …
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Due to compute limitations of the era, hierarchical modeling was relegated to existing as an avant garde form of comedy in the 90s.https://twitter.com/sarahookr/status/1219431067767066625 …
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Austin Huang proslijedio/la je Tweet
It is absolutely astonishing how quickly
@junjihashimoto3 was able to put this together:@hasktorch has fully migrated to libtorch 1.4.0! Thank you Junji!pic.twitter.com/3vAVfjr2mk
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Austin Huang proslijedio/la je Tweet
v1.4: customizable mobile builds, Distributed Model Parallelism via experimental RPC API, Java Bindings, Chaining LRSchedulers Summary: https://pytorch.org/blog/pytorch-1-dot-4-released-and-domain-libraries-updated/ … Release Notes: https://github.com/pytorch/pytorch/releases/tag/v1.4.0 … Last release for Python 2 (bye bye!)
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Austin Huang proslijedio/la je Tweet
Specifics of attribution methods to me often have a feeling of arbitrariness to them, one aspect of which is explored in a new
@distillpub paper by@PascalSturmfels ,@scottlundberg , and@suinleelab: the choice of a baseline input.https://twitter.com/distillpub/status/1217498912715505664 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nice slides summarizing the view of neural networks as differentiable programs.https://twitter.com/glouppe/status/1217482693291782145 …
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Austin Huang proslijedio/la je Tweet
this is part of a short "how containers work" series I'm slowly working on, you can see more parts here: https://twitter.com/search?f=tweets&vertical=default&q=%22how%20containers%20work%22%20from%3Ab0rk&src=typd …
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The new /d2ReducedOptimizeHugeFunctions flag in Visual Studio 2019 v16.4 brought our TensorFlow 2.1.0 release builds down from over 48 hours (VS 2017) to under 4.
This is a huge win! Thanks to the
Slides are available at