Congrats on the launch. I have built an open source tool (called hyperML) for similar problem sometime back. I think the problem is not just storing in versio

Congrats on the launch. I have built an open source tool (called hyperML) for similar problem sometime back. I think the problem is not just storing in version control but being able to quickly retrieve those in live /test systems or containers. Mounting and loading datasets and models is painful. It kind of what makes local training a better option. If only the weights were version controlled by libraries (tf, pytorch or scikit) this whole problem will be much easier to solve.