This simple library is a classifier for the k-Nearest Neighbors (kNN/k-nn) algorithm.
Machine Learning in Rust.
ML primitives for sgr-agent — ONNX embeddings, centroid classifier, k-NN store
Package for algorithms related to K Nearest Neighbors
Automated machine learning for classification and regression
Neighbor-based algorithms for sklears: k-NN, radius neighbors
Pipeline execution engine for veks
Neighbour-based fuzzy-rough classifiers such as NN and FRNN.
This is a Rust library for mathematical, statistical and machine learning operations.
ML primitives for bio (embeddings, etc.) for the Cyanea bioinformatics ecosystem
Random Forests for Change Point Detection
rUv Neural — Cognitive state classification and BCI decoding from neural topology embeddings