FluxML/NNlib.jl
Neural Network primitives with multiple backends
This library offers fundamental building blocks for neural networks, like activation functions and convolutional layers. It takes raw numerical data and applies these operations to transform it, forming the core computations for machine learning models. It's used by machine learning practitioners and researchers building custom neural network architectures.
245 stars.
Use this if you are a machine learning developer creating or customizing neural network models in Julia and need low-level, high-performance operations.
Not ideal if you are a non-developer or prefer a high-level, 'out-of-the-box' neural network framework without needing to work with individual mathematical components.
Stars
245
Forks
132
Language
Julia
License
—
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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