The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
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jiro-nn
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WorkOS
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pair_adjacent_violators
An implementation of the Pair Adjacent Violators algorithm for isotonic regression in Rust
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smartcore-jupyter
Experiment with Smartcore using Jupyter Notebooks
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cargo-release
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git-cliff
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not-yet-awesome-rust
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cargo-supply-chain
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konst
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tagname
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
smartcore reviews and mentions
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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.
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A note from our sponsor - WorkOS
workos.com | 28 Mar 2024
Stats
smartcorelib/smartcore is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of smartcore is Rust.