Showing 7 of 7 projects
An optimized distributed gradient boosting library for fast and accurate machine learning on large datasets.
A Julia library providing a consistent API for common machine learning algorithms, designed for practitioners working with in-memory datasets.
A simple and functional machine learning library for Erlang, Elixir, and Gleam projects.
A lightweight Clojure wrapper for TensorFlow's Java API, providing idiomatic access to machine learning operations.
A simplistic neural network library written in Go with support for single hidden layer and back-propagation learning.
A small machine learning library written in Clojure providing simple, concise implementations of ML algorithms.
A simple machine learning library for Crystal with a working Bayes classifier and upcoming decision tree.
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