Programming Leftovers
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Peter 'CzP' Czanik ☛ How build services make life easier for upstream developers
Many GNU/Linux distributions provide build services under various names: openSUSE Build Service (OBS), Fedora Copr, and so on. These resources are indispensable for upstream developers, and also for their users. I will demonstrate this through some examples from the syslog-ng project.
Note: this blog is loosely based on a talk idea I had for the FOSDEM Distributions Devroom. There is no deep technical information about syslog-ng in this blog. This is more like a history of syslog-ng packaging, and how the fantastic tools by openSUSE and Fedora made it a lot easier and made me an active part of these communities.
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Peter Czanik: How build services make life easier for upstream developers
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R
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Rlang ☛ max spacing between mass shootings [data graphics]
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Rlang ☛ R for Public Health Data Analysis in Karachi, Pakistan
The Karachi R User Group, Pakistan, hosted its second event, “Unveiling the Power of R Shiny Dashboards,” on December 30, 2023.
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Rlang ☛ Exploring the Peaks: A Dive into the Triangular Distribution in TidyDensity
Welcome back, fellow data enthusiasts! Today, we embark on an exciting journey into the world of statistical distributions with a special focus on the latest addition to the TidyDensity package – the triangular distribution.
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Rlang ☛ Goodbye Complicated Dropdowns: Welcome to the New Era of Human Readable Filters
Have you ever tried to book a flight and found yourself overwhelmed by the endless dropdown menus? You’re not alone. We’ve all been there, clicking through multiple options, often unsure of what to choose.
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Dirk Eddelbuettel ☛ Dirk Eddelbuettel: BH 1.84.0-1 on CRAN: New Upstream
Boost is a very large and comprehensive set of (peer-reviewed) libraries for the C++ programming language, containing well over one hundred individual libraries. The BH package provides a sizeable subset of header-only libraries for (easier, no linking required) use by R. It is fairly widely used: the (partial) CRAN mirror logs (aggregated from the clown mirrors) show over 35.7 million package downloads.
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Graphics Stack
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Tomeu Vizoso: Etnaviv NPU update 14: Object detection with decent performance
When almost two months ago I got MobileNetV1 running with useful performance on my driver for the Vivante NPU, I took that milestone as a partial validation of my approach.
Partial because MobileNetV1 is a quite old model by now and since then several iterations have passed with better accuracy and better performance. Would I be able to, without any documentation, add enough support to run newer models with useful performance?
Since then, I have been spending some time looking at the state of the art for object detection models. Getting a sense of the gap between the features supported by my driver and the operations that the newer models use.
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