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pizza
searching PlanetScale…
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52 ms
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841.
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infosecstreams.github.io
(infosecstreams.github.io)
3 points
by
pizza
4y ago
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0 comments
842.
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pizza
4y ago
What is the go-to tool for realtime, 60fps animated visualization in Python? Preferably something versatile that could handle either spectrograms or tree-/graph-structured data. I’ve seen suggestions of using matplotlib animations but
843.
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pizza
4y ago
Anybody know any good resources on scripting the debugger? It seems like you should be able to use some kind of concolic execution approach + fuzzing to do something like a binary search between forward and backward breakpoints to automatic
844.
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What Triggered the Big Bang? It's Complicated (Op-Ed)
(space.com)
3 points
by
pizza
4y ago
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2 comments
845.
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Reverse Engineering the Arctis 9 and learning Go along the way
(magnier.io)
2 points
by
pizza
4y ago
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0 comments
846.
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pizza
4y ago
The thing is, because this is an nvidia product, there are people being paid to work on it. What’s going to get made will be what gives nvidia gpus the most features, or rather, the biggest edge. We aren’t quite yet at the stage of this tec
847.
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by
pizza
4y ago
How did you do approach learning it to make it “stick” to such an extent that it’s changed how you approach problems?
848.
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by
pizza
4y ago
I am not familiar with the capabilities of the compiler but is there any optimization reason to prefer references as well? Like the compiler may be able to figure out an efficient way to keep a referenced object ‘nearby’ for subsequent func
849.
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fp32 underflow precision error in log_softmax may help “grokking” in neural nets
(twitter.com)
2 points
by
pizza
4y ago
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0 comments
850.
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by
pizza
4y ago
Yes
851.
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by
pizza
4y ago
> Now squeeeze those papers!
852.
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libtmux: Python API / Wrapper for tmux
(github.com)
8 points
by
pizza
4y ago
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1 comments
853.
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Giving snakes their legs back
(youtube.com)
3 points
by
pizza
4y ago
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0 comments
854.
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AutoSA: Polyhedral-Based Systolic Array Auto-Compilation
(github.com)
2 points
by
pizza
4y ago
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0 comments
855.
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by
pizza
4y ago
You may be interested in the azimuth project: https://www.azimuthproject.org/azimuth/show/HomePage The Azimuth Project is a group effort to study the mathematical sciences for “saving the planet.” Our goal is to
856.
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numerical.recipes
(numerical.recipes)
1 points
by
pizza
4y ago
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0 comments
857.
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Burn All GIFs (2000)
(web.archive.org)
42 points
by
pizza
4y ago
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37 comments
858.
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by
pizza
4y ago
Very cool and nice work.
859.
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by
pizza
4y ago
This is why it's a C extension: https://github.com/Suzhou-Tongyuan/jnumpy/blob/main/TyPython... The title is correct because it is a Julia numpy interface. Inside it seems is another project, TyPyth
860.
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Historical timeline of text-to-image ML models
(fabianmosele.com)
1 points
by
pizza
4y ago
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0 comments
861.
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by
pizza
4y ago
Probably quite a bit, I don't know. The typical use case is to load up thousands of JPEGs at once to get good throughput despite copy overhead. You can see here the benchmark against jpeg-turbo: https://developer.nvidia.com&
862.
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by
pizza
4y ago
That's not true. libjpeg-turbo is ~50 MB/s last I tried - plus it's not lossless. fjxl and fpnge are basically an order of magnitude faster than that. libjpeg-turbo isn't even the fastest jpeg codec - you should check ou
863.
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by
pizza
4y ago
Ooh now that is very interesting. I would really love to see how this speeds up the run-time of fpng as a whole, if you have any numbers. It looks like fjxl [0] and fpnge [1] (which also uses AVX2) are at the Pareto front for lossless image
864.
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Eigen vs. Blaze vs. Fastor vs. Armadillo vs. XTensor
(romanpoya.medium.com)
1 points
by
pizza
4y ago
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0 comments
865.
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Windows HEVC video codec from Microsoft costs $0.99
(apps.microsoft.com)
70 points
by
pizza
4y ago
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74 comments
866.
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NAFNet: Nonlinear Activation Free Network for Image Restoration
(github.com)
52 points
by
pizza
4y ago
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8 comments
867.
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by
pizza
4y ago
Hell yeah, another reason to get people to switch to Python >= 3.10. Unfortunately a lot of libraries are still gonna be behind for now: https://pyreadiness.org/3.10/ - of the top 360 most downloaded on PyPI, 212 ha
868.
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pizza
4y ago
Is it better for Python to be simple than for Python to be simple for simple problems?
869.
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Discovering State Variables Hidden in Experimental Data
(arxiv.org)
2 points
by
pizza
4y ago
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0 comments
870.
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Exploring the Basic Concepts of HDR (2019)
(sid.onlinelibrary.wiley.com)
35 points
by
pizza
4y ago
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9 comments
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