This is the Windows app named Flux.jl whose latest release can be downloaded as v0.16.4sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Flux.jl
DESCRIPTION:
Flux is an elegant approach to machine learning. It's a 100% pure Julia stack and provides lightweight abstractions on top of Julia's native GPU and AD support. Flux makes the easy things easy while remaining fully hackable. Flux provides a single, intuitive way to define models, just like mathematical notation. Julia transparently compiles your code, optimizing and fusing kernels for the GPU, for the best performance. Existing Julia libraries are differentiable and can be incorporated directly into Flux models. Cutting-edge models such as Neural ODEs are first class, and Zygote enables overhead-free gradients. GPU kernels can be written directly in Julia via CUDA.jl. Flux is uniquely hackable and any part can be tweaked, from GPU code to custom gradients and layers.
Features
- Compiled Eager Code
- Differentiable Programming
- First-class GPU support
- Flux has features that sets it apart among ML systems
- Probabilistic Programming
- Graph Neural Networks
- Computer Vision
- Natural Language Processing
Programming Language
Julia
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/flux-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.