This is the Windows app named Lux.jl whose latest release can be downloaded as MLDataDevices-v1.11.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Lux.jl
DESCRIPTION
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
Programming Language
Julia
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/lux-jl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
