vectorflow
ugrep
| vectorflow | ugrep | |
|---|---|---|
| 12 | 24 | |
| 1,290 | 2,435 | |
| 0.2% | 1.2% | |
| 0.0 | 9.1 | |
| 10 months ago | 10 days ago | |
| D | C++ | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
vectorflow
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Programming languages endorsed for server-side use at Meta
>> Mozilla (of course)
Mozilla is a c++ and javascript shop. What do they ship in Rust? How much of Firefox is written in rust for example?
>> Microsoft, Meta, Google/Acrobat, Amazon
Large firms have lots of devs and consequently lots of toy projects. Is their usage of rust more significant than their use of D? I mean Meta was churning out projects in D a while back (warp, flint, etc) and looked like it might be going all in at one point (they even hired one of the leads on D lang).
>> That's practically all of FAANG
Who were we missing? Netflix, they’ve dabbled with D too: https://github.com/Netflix/vectorflow
Don’t misunderstand my point - it’s not that D is more popular than rust, it’s that rust is not used for real work in any significant capacity yet.
Where’s the big project written in rust? Servo and the rust compiler are the only two large rust projects on github.
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Cloud TPU VMs are generally available
Thanks Zak, already applied.
Just wondering does TPU VM support Vectorflow?
https://github.com/Netflix/vectorflow
- Vectorflow is a minimalist neural network library optimized for sparse data and single machine environments open sourced by Netflix (r/MachineLearning)
- [P] Vectorflow is a minimalist neural network library optimized for sparse data and single machine environments open sourced by Netflix
- Vectorflow is a minimalist neural network library optimized for sparse data and single machine environments open sourced by Netflix
- Vectorflow: Minimalist neural network library faster than TensorFlow in D
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Small Neural networks in Julia 5x faster than PyTorch
A library I designed a few years ago (https://github.com/Netflix/vectorflow) is also much faster than pytorch/tensorflow in these cases.
In "small" or "very sparse" setups, you're memory bound, not compute bound. TF and Pytorch are bad at that because they assume memory movements are worth it and do very little in-place operations.
Different tools for different jobs.
ugrep
- Ugrep – a more powerful, ultra fast, user-friendly, compatible grep
- The ugrep file pattern searcher
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Ripgrep is faster than {grep, ag, Git grep, ucg, pt, sift}
I switched from from ripgrep to ugrep and never looked back. It's just as fast, but also comes with fuzzy matching (which is super useful), a TUI (useful for code reviews), and can also search in PDFs, archives, etc.
The optional Google search syntax also very convenient.
https://ugrep.com
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ugrep 4.3.2 with updated TUI
Installation and user guide: ugrep.com (no ads, no cookies, just plain HTML in a GitHub page)
- New Ugrep 4.0
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ugrep 4.0 released + performance benchmarks
Not heard of ugrep? Read the wiki on GitHub.
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ripgrep is faster than {grep, ag, git grep, ucg, pt, sift}
These ripgrep announcements are getting a bit old, don't you think? Ripgrep hasn't improved or added new features since 2016. There are other fast alternatives with a lot more features, like ugrep and qgrep for example. Ugrep has fuzzy regex pattern search, archive search (even nested archives!), Boolean search queries like Google, interactive query TUI, hexdumps, and is compatible with GNU grep (ripgrep is not).
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ugrep vs. grep – What are the differences?
It's the first time I hear about the ugrep. Would be nice to compare it with ripgrep, since both provide benchmark tables listing their tool at the top :D. For my everyday use speed doesn't matter much, as well as interactive mode seems useless (YMMV). So I'm staying with ripgrep for now.
- ugrep 3.10 - yet another grep for you - this one is fast and has a ton of cool features: now outputs directory trees for your viewing pleasure
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Programming languages endorsed for server-side use at Meta
ugrep has full SSE/AVX support
https://github.com/Genivia/ugrep/blob/a3acf863803a755ff8da8c...
What are some alternatives?
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
ripgrep - ripgrep recursively searches directories for a regex pattern while respecting your gitignore
dcompute - DCompute: Native execution of D on GPUs and other Accelerators
blink - GUI of live indexed grep for source code. Fuzzy suggestion in auto complete. Files locator, search and replace. Index management for multiple projects.
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
website - The source code for the beyondgrep.com website
LeNetTorch - PyTorch implementation of LeNet for fitting MNIST for benchmarking.
so_stupid_search - It's my honor to drive you fucking fire faster, to have more time with your Family and Sunshine.This tool is for those who often want to search for a string Deeply into a directory in Recursive mode, but not with the great tools: grep, ack, ripgrep .........every thing should be Small, Thin, Fast, Lazy....without Think and Remember too much ...一个工具最大的价值不是它有多少功能，而是它能够让你以多快的速度达成所愿......
juliaup - Julia installer and version multiplexer
netctl - Profile based systemd network management
blis - BLAS-like Library Instantiation Software Framework
altbox - Website for altbox.dev, the alternative toolbox for developers