A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

A python library to build Model Trees with Linear Models at the leaves. linear-tree provides also the implementations of LinearForest and LinearBoost inspired from these works.

To calculate ferrite core losses based on a physical approach, non-linear material effects must be considered. To implement these effects in a fast and accurate way, a new semi-analytical model is ...

We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded by certain ...