by Zainul Abideen | Jul 7, 2025
Introduction to Pegasus The Pegasus project, developed by Google Research, focuses on converting Pegasus-TF to Flax checkpoints, facilitating a smooth transition between different model architectures. This project is essential for developers looking to leverage the...
by Zainul Abideen | Jul 7, 2025
Introduction to DETR and Detectron2 DETR (DEtection TRansformer) is a revolutionary approach to object detection that leverages transformer architectures to achieve state-of-the-art results. By integrating DETR with Detectron2, a popular object detection library...
by Zainul Abideen | Jul 7, 2025
Introduction to Mask2Former Mask2Former is an innovative framework designed for semantic and instance segmentation tasks. Developed by Facebook Research, it provides a suite of tools that streamline the process of converting pre-trained models and evaluating...
by Zainul Abideen | Jul 7, 2025
Introduction to YOLOv7 and Triton Inference Server YOLOv7 is a state-of-the-art object detection model that excels in real-time applications. When combined with the Triton Inference Server, it offers a robust solution for deploying machine learning models with high...
by Zainul Abideen | Jul 7, 2025
Introduction to Ultralytics Welcome to the Ultralytics project, a cutting-edge resource for developers and researchers in the field of machine learning. This repository hosts the Ultralytics YOLO models, which are designed to facilitate advanced object detection...
