the-algorithm-ml
benchmarks
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the-algorithm-ml | benchmarks | |
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36 | 40 | |
9,863 | 2,730 | |
0.4% | - | |
10.0 | 7.2 | |
6 months ago | 2 months ago | |
Python | Makefile | |
GNU Affero General Public License v3.0 | MIT 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.
the-algorithm-ml
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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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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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Analysis of Twitter algorithm code reveals social medium down-ranks tweets about Ukraine
They have made a major part of the code source available recently: the algorithm. However there are at least three issues with calling this an "open source Twitter":
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Something tells me Twitter isn’t going to get anything useful from their GitHub issues
link
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Twitter released the source code for the algorithm that recommends tweets
Yeah, that's a basic problem, plus the neural network in the middle is just a recipe for a neural network, without any of the training weights or anything, because it is the data, people's personal data, that this would embody, that is the source of wealth for the network.
- Twitter's Recommendation Algorithm
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[News] Twitter algorithm now open source
Repo for their recommendation-engine: https://github.com/twitter/the-algorithm-ml
benchmarks
- Building a high performance JSON parser
- Twitter (re)Releases Recommendation Algorithm on GitHub
- 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.
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The original computer languages benchmark is back
Also, here is another benchmark: https://github.com/kostya/benchmarks
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Why does Scala seem to be slow at benchmark results?
Nowadays, I reached out for some benchmark results. Scala is slower than Java and Kotlin. Can you explain it? https://github.com/losvedir/transit-lang-cmp https://github.com/kostya/benchmarks
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New, fastest JSON library for C++20
https://github.com/kostya/benchmarks is the current ratings. Should be an easy PR to them too.
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What things would be awkward to do in a hypothetical "strict" Haskell variant, that are now not awkward to do?
I don't think that rule will get you to 1.5-2x of C speed though. This benchmark is the only one I could find that has both PyPy and C and it seems to still be around 5-35x.
They are at least trying to avoid measuring JIT compilation times. I don't know how effective that is, but I trust somebody would have complained if it wasn't fair.
What are some alternatives?
libuv - Cross-platform asynchronous I/O
lua-languages - Languages that compile to Lua
julia - The Julia Programming Language
mypyc - Compile type annotated Python to fast C extensions
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
Cython - The most widely used Python to C compiler
circe - Yet another JSON library for Scala
lucky - A full-featured Crystal web framework that catches bugs for you, runs incredibly fast, and helps you write code that lasts.
Kategory - Λrrow - Functional companion to Kotlin's Standard Library
vector - A high-performance observability data pipeline.
Rope - a python refactoring library
viroiddb - A curated database of all available viroid-like RNA sequences