Claude Code, originally just auto-complete on steroids for IDEs, shows a lot of promise for becoming a major tool in the DFIR/detection engineering/security analyst’s toolbox. Whether it’s Claude Code ...

This project aims to demonstrate how to configure visible and infrared datasets to accommodate multimodal object detection tasks based on YOLOv11. With three different configuration methods (directory ...

This Repository is all about the popular Digital Image Processing Lab concepts and their variations, which can be helpful to Machine learning. I have tried Digital Image Processing Lab for all problem ...

Abstract: Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between ...

Abstract: Thermal imaging is a process of using infrared radiation and thermal energy to collect information about objects. It is superior to visible imaging for its ability to operate in darkness and ...

Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an application of MRI that ...