Download
Lux.jl is a lightweight and extensible deep learning framework in Julia designed for speed, composability, and clarity. Unlike traditional machine learning libraries that bundle training logic and models, Lux separates model definitions from training routines, encouraging modularity and ease of experimentation. It integrates seamlessly with SciML and other Julia packages, supporting neural differential equations and scientific machine learning workflows.
Features
- Purely functional and composable model definitions
- Decouples model creation from training logic
- High-performance execution using GPU/CPU backends
- Supports neural differential equations via SciML
- Flexible architecture for custom layers and optimizers
- Compatible with JAX-style transformations like Zygote and Optimisers.jl
Project Samples
Categories
Deep Learning FrameworksLicense
MIT LicenseFollow Lux.jl
Other Useful Business Software
Ship Agents Faster
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Lux.jl!