Rust library for Self Organising Maps (SOM).
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Updated
Oct 15, 2022 - Rust
Rust library for Self Organising Maps (SOM).
Self Organizing Map (SOM) is a type of Artificial Neural Network (ANN) that is trained using an unsupervised, competitive learning to produce a low dimensional, discretized representation (feature map) of higher dimensional data.
FormicaX: Rust library with clustering algorithms like K-Means, DBSCAN, and GMM, FormicaX delivers efficient, adaptable insights for trading applications. Inspired by the collaborative and resilient nature of ants (Formica), it offers a modular, high-performance framework for developers and data scientists.
A Self-organizing Maps (SOM) / Kohonen networks library and command line tool in Rust.
A simple high-performance implementation of the Self-Organizing Map (SOM) algorithm in Rust, exposed as a Python module.
My solutions for the 2021 edition of the Advent of Code, using Rust and SOM (Simple Object Machine)
A partial evaluator for WebAssembly
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