Thanks for the question, unlike sci-kit learn we have focused on building better hyper parameter tuning and continuous streaming unsupervised learning rather than one time batch unsupervised learning, this allows us to much better track patterns over time. We also have several models not on sklearn and even for the ones that are there, we have reimplemented them with better GPU support. You can also find some more info on that here : https://www.all.vision/technical-whitepaper