A Support Vector Machine (SVM) is a supervised machine learning model. In its basic form SVMs are used for binary classification tasks. Their fundamental idea is to learn a hyperplane which separates ...

This Python project provides a means of running parallelized Widom's Test Particle Insertion Method [1] on all sorts of configurations drawn from molecular-dynamics or monte-carlo simulations. This ...

This project aims to develop a computational framework combining computer vision, computer graphics, and machine learning to accelerate and improve the design and simulation of camera lenses.