smartcore
pair_adjacent_violators
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smartcore | pair_adjacent_violators | |
---|---|---|
4 | 2 | |
648 | 8 | |
4.8% | - | |
5.0 | 3.7 | |
20 days ago | about 1 year ago | |
Rust | Rust | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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.
smartcore
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ML in Rust: smartcore
Today we have released version 0.3 of smartcore: a comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
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What's everyone working on this week (45/2022)?
we are approaching version 0.3 for our library, that is the minimal Wasi-first version we are going to publish. Some last minute obstacles on generating random numbers: try to disentangle range generators usage so we can have a default feature with fewer external dependencies and wasm32/wasi-ready.
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Learn Rust as ML practitioner
we are developing a ML practitioner-friendly library to help learn Rust mimicking the sklearn API: Smartcore. You can see some examples in these notebooks.
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What is a FOSS which is needed but doesn't exist yet/needs contributers?
Check out smartcore and linfa. At work I was badly in need of an NMF function similar to MATLAB's one these days but not enough time to write one myself. If you're good at math and machine learning, this sounds like a task you could try tackling.
pair_adjacent_violators
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Concept: Decentralized Reputation Initiation Protocol (DRIP) based on Prisoner's Dilemma and "proof-of-trust" as alternative to PoW or PoS
This threshold would be calibrated dynamically by a decentralized mechanism to control the rate at which new reputations are created, similar to Bitcoin's "difficultly adjustment" mechanism (although I'd probably use an approach based on pair adjacent violators).
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Would appreciate some feedback on my first Rust library - an implementation of the "pair adjacent violators" algorithm for isotonic regression
github
What are some alternatives?
linfa - A Rust machine learning framework.
jiro-nn - A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
Peroxide - Rust numeric library with R, MATLAB & Python syntax
pairAdjacentViolators - A JVM implementation of the Pair Adjacent Violators algorithm for isotonic regression
Parallel
OutNet - OutNet is a Distributed Services Framework. It provides peer discovery and UPnP router port forwarding. OutNet - you are the internet!
forbidden - An auth system/library for Rust applications
freenet-core - Declare your digital independence
CSX0003RUST
plugin-WebOfTrust - Collaborative spam filter for Freenet. Short overview: https://goo.gl/ZR3zg5 Whitepaper: https://git.io/vXtHN Suppor contact & maintainer: @xor-freenet