6 Packages since 2022
User Packages
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Lux.jl300Explicitly Parameterized Neural Networks in Julia
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Boltz.jl5Accelerate your ML research using pre-built Deep Learning Models with Lux
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LuxLib.jl3Backend for Lux.jl
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LuxCore.jl3LuxCore.jl defines the abstract layers for Lux. Allows users to be compatible with the entirely of Lux.jl without having such a heavy dependency.
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LuxCUDA.jl1Trigger Package for CUDA Support in Lux.jl
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LuxTestUtils.jl0Collection of Functions useful for testing various packages in the Lux Ecosystem
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