smartcore-jupyter
smartcore
smartcore-jupyter | smartcore | |
---|---|---|
4 | 4 | |
14 | 651 | |
- | 2.0% | |
1.5 | 5.0 | |
about 1 year ago | 26 days ago | |
Jupyter Notebook | Rust | |
Apache License 2.0 | Apache License 2.0 |
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.
smartcore-jupyter
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ML in Rust: smartcore
Easiest way to get the feeling are the Jupyter Notebooks but also the documentation.
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Rust vs Golang: Coming from Python (I know technically it's not necessarily the right comparison)
Hi, we are developing a library for ML in Rust that leverages a "pythonic" interface. This can be used by practitioners with Python background to get into Rust. You can see examples in notebooks in this repository.
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[P][N] Learn Rust as ML practitioner
ndarray bindings are already in place, see here. We also had nalgebra but we decided to focus on one integration so to give a clear decision to the users. We are going to take technical decisions about what to support according to the experience we will gather, community first. Please read follow the issues for the options under investigation about integrating existing solutions.
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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.
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.
What are some alternatives?
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
linfa - A Rust machine learning framework.
serde - Serialization framework for Rust
Peroxide - Rust numeric library with R, MATLAB & Python syntax
Parallel
forbidden - An auth system/library for Rust applications
CSX0003RUST
jiro-nn - A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
databricks-kube-operator - A Kubernetes operator to enable GitOps style deploys for Databricks resources
pair_adjacent_violators - An implementation of the Pair Adjacent Violators algorithm for isotonic regression in Rust
cargo-release - Cargo subcommand `release`: everything about releasing a rust crate.
cargo-supply-chain - Gather author, contributor and publisher data on crates in your dependency graph.