benchmarks
the-algorithm-ml
benchmarks | the-algorithm-ml | |
---|---|---|
40 | 36 | |
2,747 | 9,887 | |
- | 0.3% | |
7.2 | 10.0 | |
3 months ago | 8 months ago | |
Makefile | Python | |
MIT License | GNU Affero General Public License v3.0 |
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.
benchmarks
- Some Benchmarks of Different Languages
- Building a high performance JSON parser
- Top 5 Fastest Programming Languages
- Twitter (re)Releases Recommendation Algorithm on GitHub
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How green or energy efficient is the Go programming language?
GitHub - kostya/benchmarks: Some benchmarks of different languages
- how to benchmark a programming language
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Ruby 3.2.0 Is from Another Dimension
In all the language comparisons I've found over the years, Python consistently comes out slightly slower, for example:
https://github.com/kostya/benchmarks
Bearing in mind these are probably not even using YJIT, which makes Ruby considerably faster in some scenarios.
- I made a 88x88 version of the big display image command generator in Python! (will share github link if admins allow it)
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The original computer languages benchmark is back
Also, here is another benchmark: https://github.com/kostya/benchmarks
- Why does Scala seem to be slow at benchmark results?
the-algorithm-ml
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Scammers posing as customer service agents on X as companies leave platform
I said “parts of the recommender system code.”
This is the kind of highly emotional reaction that’s not helpful.
Yes, I am quite familiar with building ML models, both training and building my own for which I’ve been paid large sums of money, and I’m here to tell you that you don’t know what you’re taking about.
There’s so much more information about an ML system than just the trained model that is important for understanding the effects of the system on a society, and its legal, ethical, and social ramifications.
Just seeing the type of RS being used, the ranking approach, and the information on SimClusters is enough for RAI folks to start to understand the ecosystem effects and how that can show up downstream in social effects.
https://blog.twitter.com/engineering/en_us/topics/open-sourc...
- Twitter's Recommendation Algorithm
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AOC said Elon Musk put his 'finger on the scale' during Turkey's presidential election and is 'concerned' it will set a precedent for the 2024 US election
Blog summarising the change: https://blog.twitter.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm
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Discussion Thread
People who don't share your interests (or at least what Twitter thinks your interests are). This blog post explains it in detail.
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Twitter's For You Recommendation Algorithm
Twitter's announcement | Main GitHub Repo | ML GitHub Repo | Engineering Blog Post
- FLaNK Stack Weekly 3 April 2023
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New York Times says it won't pay for Twitter verified check mark
where? I searched through the repo and couldn't find it.
- Analysis of Twitter algorithm code reveals social medium down-ranks tweets about Ukraine
What are some alternatives?
libuv - Cross-platform asynchronous I/O
the-algorithm
lua-languages - Languages that compile to Lua
Finagle - A fault tolerant, protocol-agnostic RPC system
julia - The Julia Programming Language
cointop - A fast and lightweight interactive terminal based UI application for tracking cryptocurrencies 🚀
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
ctop - Top-like interface for container metrics
mypyc - Compile type annotated Python to fast C extensions
Apollo-11 - Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
Cython - The most widely used Python to C compiler
jdupes - A powerful duplicate file finder and an enhanced fork of 'fdupes'.