Rust comprehensive scientific computation library contains linear algebra, numerical analysis, statistics and machine learning tools with farmiliar syntax
Rust language bindings for Faiss, the state-of-the-art vector search and clustering library.
Rust bindings for the liblinear C/C++ library. Provides a thin (but rustic) wrapper around the original C-interface exposed by the library.
Rust API to the fortran glmnet library
Clustering:
- DBSCAN
- rusty-machine
General purpose machine learning library implemented entirely in Rust. - tinguely
Machine learning library implemented entirely in Rust - rustml
Library for doing machine learning in Rust - fuzzy_dbscan
Implementation of the FuzzyDBSCAN algorithm - dbscan
Basic dependency free implementation of DBSCAN - cogset
Unmaintained (Latest commit Oct 14, 2015)
- rusty-machine
- Spectral clustering
- Hierarchical clustering
- kodama
Very good looking crate maybe get in contact with author?
- kodama
- OPTICS
- cogset
Unmaintained (Latest commit Oct 14, 2015)
- cogset
Unsure where this goes for now
Algorithms and data structures for unassisted clustering that employ the Hilbert Curve. This enables scalable, high-dimensional, unassisted, flat, single classification of data.
Preprocessing:
- PCA
- rusty-machine
General purpose machine learning library implemented entirely in Rust.
- rusty-machine
- ICA
- Normalisation
- CountVectoriser
- TFIDF
- rust-tfidf
Latest commit on Oct 6, 2016 - tf-idf
Latest commit on Mar 31, 2017 - vtext
NLP in Rust with Python bindings - rs-natural
Natural Language Processing for Rust
- rust-tfidf
Supervised Learning:
- Linear regression
- plr
Performs greedy or optimal error-bounded piecewise linear regression (PLR) Very good looking crate that is maintained - linregress
Ordinary least squared linear regression with some basic statistics Developed by the Computational Systems Medicine group at the Chair of Experimental Bioinformatics - linreg
Calculates linear regresssions of two-dimensional data (simple linear regression). Does not use stdlib, only depends on numeric traits. - rusty-machine
General purpose machine learning library implemented entirely in Rust. - tinguely
Machine learning library implemented entirely in Rust - rustml
Library for doing machine learning in Rust
- plr
- Ridge regression
- LASSO
- Support vector machines
- ffsvm
Really Fast Support Vector Machine (Requires Nightly) - rustlearn
A machine learning package for Rust Using the libsvm library for support vector machines - rusty-machine
General purpose machine learning library implemented entirely in Rust. - tinguely
Machine learning library implemented entirely in Rust
- ffsvm
- Nearest Neighbours
- Gaussian processes
- Friedrich
A scalable Rust implementation of Gaussian Process regression. Good looking crate with active maintainer - rusty-machine
General purpose machine learning library implemented entirely in Rust.
- Friedrich
- Decision trees
- Random forest
- forester
A crate for implementing various flavors of random forests and decision trees - randomforests
A simple random forest classifier - stamm
A library for implementing custom decision trees and random forests Looks unmaintained - trees
General purpose tree data structures - rustlearn
A machine learning package for Rust Using the CART algorithm for decision trees
- forester
- Naive Bayes
- naivebayes
A simple Naive Bayes classifier - rust_nb
A simple but generic Naive Bayes Model in Rust - classifier
A simple naive Bayes classifier crate for probabilistically classifying text documents. Old (last updated Apr 10, 2015) - rusty-machine
General purpose machine learning library implemented entirely in Rust.
- naivebayes