Shameless plug: I've made a deep learning course oriented with practical content on a wide variety of computer vision topics --> https://arthurdouillard.com/deepcourse/
It's a Python library giving utilities to handle data in Continual Learning, a subfield of Machine/Deep-learning where data comes incrementally. It's made to be super simple to understand, and can be used in fast prototyping on a notebook to large codebase.
There are others actors in the field that came atfer us and do more ads about their slightly similar library, but we manage to produce something useful to many PhD students, so that's a win for me.
Probably because Algolia isn't using yet any machine learning, but more old-school (yet still very good) tries-based search.
And it's probably why also Algolia shines as search engine for a website vs searching the internet like Google. The former has a small scope (looking for videogames on twich, polo on lacoste) while the latter must be personalized for the user (the snake python vs the programming language python).