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Linfa Alternatives
Similar projects and alternatives to linfa
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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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rust-ndarray
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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Awesome-Rust-MachineLearning
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
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tangram
Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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gbdt-rs
MesaTEE GBDT-RS : a fast and secure GBDT library, supporting TEEs such as Intel SGX and ARM TrustZone
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Apache Arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
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not-yet-awesome-rust
A curated list of Rust code and resources that do NOT exist yet, but would be beneficial to the Rust community.
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cargo-supply-chain
Gather author, contributor and publisher data on crates in your dependency graph.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better linfa alternative or higher similarity.
linfa reviews and mentions
Posts with mentions or reviews of linfa.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-13.
- Why is Rust not more popular in ML and secure edge computing?
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Polars vs ndarray performance
I've been playing with data analytics and ml in rust for the last couple of weeks. A typical ML job requires transforming some data to feed the ml model to the then train the model. For ML I've been using linfa (https://github.com/rust-ml/linfa) which is surprisingly nice. I've been experimenting with ndarray and polars for data transformation (linfa uses ndarray) - from a UX standpoint. I'm pretty surprised by polars' performance (https://h2oai.github.io/db-benchmark/), which sits on top of arrow2, and it's definitely a great candidate for OLAP tasks. But I couldn't find any comparison between ndarray and polars, has anyone had any meaningful experience with the two or/and can point me to a benchmark comparison?
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Ask HN: What is the job market like, for niche languages (Nim, crystal)?
The most comprehensive current view of the Rust machine learning ecosystem at the moment is probably at https://www.arewelearningyet.com/ (I sometimes help maintain this site)
Rust has a weird mix at the moment, and not one that's likely to significantly change within the next 12 months, at least. Certain tools are genuinely best-in-class, especially around simple operations on insane amounts of data. Rust kills it in that space due to its native speed and focus on concurrency.
There's also growing projects like Linfa [1]. that while not at the level of scikit-learn, have significantly increased their coverage on common data science/classical ML problems in the past couple years, along with improved tooling. The space does have a few pure-Rust projects coming down the pipeline around autodifferentiation, GPU compute, etc. that are likely to yield some really valuable results in deep learning, but that aren't quite available and will take some time to pick up some traction even once they're released. At the same time, areas like data visualization are unlikely to reach parity with something like matplotlib/pyplot in the near future.
Python is the de-facto standard, and will be for some time, but Rust's ability to build accessible high-level APIs on top of performant, language-native libraries is attracting some attention and I wouldn't be surprised to start seeing ingress in the certain areas over the next few years, where instead of the Python/C++ combination, it's just Rust all the way down.
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Is RUST aiming to build an ecosystem on scientific computing?
take a look at https://github.com/rust-ml/linfa for machine learning related crates
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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.
- Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?
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How far along is the ML ecosystem with Rust?
For other algorithms, there is not yet a single library to rule them all (linfa might become that at some point) but searching for the algorithm you need on crate.io is likely to give you some results (obligatory plug to Friedrich, my gaussian process implementation).
I'm working on machine learning in Rust at Tangram. We currently only provide an implementation of linear models and gradient boosted decision trees but will move into exposing training of deep models in the future. You can check out Tangram here: https://github.com/tangramdotdev/tangram. You may also be interested in checking out Linfa https://github.com/rust-ml/linfa. If you're interested in the future of machine learning in Rust, check out Luca Palmieri's blog post: https://www.lpalmieri.com/posts/2019-12-01-taking-ml-to-production-with-rust-a-25x-speedup/
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Linfa has a website now!
for a start I will implement the TryFrom for Dataset under a feature flag. But to be really useful some of the algorithms have to start using something like DatasetBase here Records are currently bounded by an associated type for the element type, we would have to relax that too. Just read your blogpost on polars 👍
to here: https://github.com/rust-ml/linfa/tree/master/linfa-svm/examples
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Stats
Basic linfa repo stats
14
2,670
5.8
about 1 month ago
rust-ml/linfa is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of linfa is Rust.
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