Some likely candidates are the existing open source tools their ML team has released, most of which either use PyTorch or are usable via PyTorch: - CoreNet, a

Some likely candidates are the existing open source tools their ML team has released, most of which either use PyTorch or are usable via PyTorch: - CoreNet, a training toolchain developed by their ML teams: https://github.com/apple/corenet https://github.com/apple/corenet. It's built on PyTorch, but uses MLX - MLX, Apples internal array processing framework which is C/C++/Swift (https://pypi.org/project/mlx/ https://pypi.org/project/mlx/). - CoreML tools, their python package for accessing the lower-level CoreML APIs (https://github.com/apple/coremltools https://github.com/apple/coremltools)