Mathematics students frequently encounter challenges when tackling geometric concepts, especially those requiring spatial visualisation skills. The transition from basic arithmetic to geometric ...

Manipulation and deformation of 3D shapes is one of the most basic modes of interaction and creation in the 3D domain, for instance - 3D design, modeling, animation, and registration. Integration with ...

Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

Topological Data Analysis (TDA) is a recent and fast growing field providing a set of new topological and geometric tools to infer relevant features for possibly complex data. Here we propose a set of ...

Jupyter notebooks for teaching machine learning. Based on scikit-learn and Keras, with OpenML used to experiment more extensively on many datasets. Deep Learning with Python by François Chollet.

Abstract: Geometric Deep Learning techniques have become a transformative force in the field of Computer-Aided Design (CAD), and have the potential to revolutionize how designers and engineers ...