I wouldn't say that Python and C++ are the end all languages for ML. They do have a critical mass but I still think projects like OPs can still help us figure out what's a good interface for ML and learnings from smaller projects can inform the design and interface of larger projects (e.g: Keras API helped inform the new TF API).
Also I'm suspicious that Tensorflow will be the Deep Learning library we'll use 5-10 years down the line so it's always nice to see smaller projects that try to do something different.
Also I'm suspicious that Tensorflow will be the Deep Learning library we'll use 5-10 years down the line so it's always nice to see smaller projects that try to do something different.