For what I've seen Tango is a general dag/pipeline that happens to have some facilities for PyTorch. I don't see any deep learning specific. You could execute sklearn or whatever.
That said, you could execute sklearn. If that's what your experiment needs, it's the right thing to do. This is why it gives us the flexibility to also support Jax: https://github.com/allenai/tango/pull/313
The DL-specific stuff is in the components we supply. Like the trainer, dataset handling stuff, file formats, and increasingly, https://github.com/allenai/catwalk.