Flux
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About
Flux is a 100% pure-Julia stack for machine learning. It provides lightweight abstractions and supports GPU and AD. It features compiled eager code, differentiable programming, and first-class GPU support. The ecosystem includes probabilistic programming (Turing.jl, Stheno.jl), graph neural networks (GraphNeuralNetworks.jl), computer vision (Metalhead.jl), SciML, and natural language processing (Transformers.jl). It is used by researchers and developers at MIT, UCL, University of Toronto, and other institutions.
Platform
Task
Features
• natural language processing
• computer vision
• first-class gpu support
• differentiable programming
• compiled eager code
• graph neural networks
• sciml
• probabilistic programming
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