emel
A simple and functional machine learning library for Erlang, Elixir, and Gleam projects.
What is emel?
Emel is a machine learning library for the Erlang ecosystem that implements various ML algorithms using functional programming principles. It allows developers to create classifiers and predictors that transform data into functions, making ML accessible within BEAM-based languages like Erlang, Elixir, and Gleam.
Erlang, Elixir, and Gleam developers who need to incorporate machine learning algorithms into their applications while staying within the BEAM ecosystem.
Emel provides a simple, functional approach to machine learning specifically designed for BEAM languages, eliminating the need to bridge to other ecosystems while offering essential ML algorithms with clean APIs.
Overview
A simple and functional machine learning library for the Erlang ecosystem
Use Cases
Best For
- Adding classification algorithms to Erlang applications
- Implementing regression models in Elixir projects
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
