Are there any open source ML libraries that have good (or any) test coverage?

[taraskuzyk]

I have been looking to use lipsync for a project at work, and I have been horrified to see that the most used deepfake library [0] with over 30k stars has the word "test" mentioned in it a whopping 10 times. This naturally made me very hesitant to use this library as who (I guess no one, really) knows how unstable it may be.

Are there any examples of projects in ML (other than libs like pytorch) that do have test suites, and perhaps even enforce TDD? Would be very curious to know.

[0] DeepFaceLab https://github.com/iperov/DeepFaceLab

[t-vi]

I try to have test coverage for the (small) independent libraries I do.

It's a bit tricky to go really deep with tests when you don't have a reference, but I like to see that at least basic logic errors and typos in attribute names are caught.

Many of the larger libraries in the PyTorch ecosystem have some sort of testing. The things that are mostly "here is a model" often do not.