Building an elastic collision simulator with springs in Python to model realistic physics interactions and dynamic object collisions. Learn how to implement spring forces, momentum conservation, and ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
create ros2 workspace for converter (ex. $HOME/ros_ws/converter) clone this repository into converter workspace clone dependency repos build converter workspace ...
A tool that converts scanned book PDFs into high-quality documents comparable to digital books, using AI image processing and advanced image processing techniques. For more details, see the original ...