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
Auth0 B2B Essentials: SSO, MFA, and RBAC Built In
Auth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Lux.jl!
