This project is no longer actively maintained or supported. Due to the limitations of the current design, future updates, bug fixes will not be considered, and support will not be provided. Feel free ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This is the complete documentation for v1.3.1 of the package, released on 2025-08-03. OGRePy is a modern Python package for differential geometry and tensor calculus, designed to be both powerful and ...

This work investigates the use of Random Forests for class based pixel-wise segmentation of images. The contribution of this paper is three-fold. First, we show that apparently quite dissimilar ...

The Trump team can’t get its story straight on the president, Gabbard and Fulton County Pentagon warns scouts to make ‘core value reforms’ or lose military support Hundreds of Swiss bank accounts with ...

Abstract: Recently, the object detection methods based on few shot learning have significantly advanced the field of object detection, because the methods are easy to achieve excellent detection ...