cortex
A Clojure library for neural networks, regression, and feature learning with GPU acceleration support.
What is cortex?
Cortex is a machine learning library for Clojure that provides tools for neural networks, regression, and feature learning. It allows developers to build and train ML models directly in Clojure, with support for GPU acceleration via CUDA and cuDNN. The library bridges functional programming with practical machine learning workflows.
Clojure developers and data scientists who want to implement machine learning models within the Clojure ecosystem, especially those needing GPU-accelerated computation for neural networks.
Developers choose Cortex for its seamless integration with Clojure's functional programming style, enabling ML development without leaving the Clojure environment. Its GPU acceleration support provides performance comparable to mainstream ML frameworks while maintaining Clojure's expressiveness.
Overview
Machine learning in Clojure
Use Cases
Best For
- Implementing neural networks in Clojure applications
- Performing regression analysis with Clojure's data processing pipelines
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.
