In what sense?
I don't mean this particular project, but generally, you can't be in the field without seeing ten frameworks a day.
Most ML frameworks out there are stuck in academic-land and assume the users are experts - when the exact opposite is usually true - they actually attempt to use the most opaque language possible when describing usage.
ML is still a consulting gold mine because it's so difficult to wade past the jargon and bullshit to actually do something useful/profitable with these frameworks.