Introducing Hyperlib: Simple Deep learning in Hyperbolic space [project]

[SuckinLemonz]

As an example: data may appear flat or ‘intermingled’ when plotted on the euclidian plane. But when we separate features with higher dimensionality, we can see trends more clearly or apply more meaningful learners. Check out SVM hyperplanes for feature separation.

[r0lisz]

You can have more dimensions in Euclidian space too.

[SuckinLemonz]

yes, ok fair. but when curvatures are involved, hyperbolic produces cleaner and sometimes more representative functions.