3. Fastai.jlRepository of best practices for deep learning in Julia, inspired by fastai
4. Torch.jlSensible extensions for exposing torch in Julia.
5. Nnlib.jlNeural Network primitives with multiple backends
6. Mljflux.jlAn interface to the deep learning package Flux.jl from the MLJ.jl toolbox
10. Flux.jlRelax! Flux is the ML library that doesn't make you tensor
11. YaoFlux.jlDifferentiable programming on quantum circuits with Flux
16. Optimisers.jlOptimisers.jl defines many standard optimisers and utilities for learning loops.
19. DaggerFlux.jlDistributed computation of differentiation pipelines to use multiple workers, devices, GPU, etc. since Julia wasn't fast enough already