I work with ML. Even a dense vector can be relatively high-dimensional (something like 128-D is common) I'd love to use Geometric / Clifford algebra for rotations of these vectors; the notation is much more intuitive. However, last time I tried using this library, it insists on generating all the N-vectors, of which there's a combinatoral amount w.r.t. the number of dimensions. For rotations, I really only need bivectors (IIRC)
Is there a way to use Geometric Algebra for higher dimensions?
My package called Grassmann.jl offers somewhat higher dimensional algebras than the python package here: