Flux.jl is a machine learning library for Julia that offers lightweight abstractions over native Julia GPU support and automatic differentiation. It enables building and training neural networks while remaining fully hackable and transparent. The library is designed to make common ML tasks straightforward while allowing low-level customization when needed.