In the rapidly evolving field of deep learning, the challenge often lies not just in designing powerful models but also in making them accessible and efficient for practical use, especially on devices ...
Medical Image Segmentation Using 🤗 HuggingFace & PyTorch
Medical image segmentation is an innovative process that enables surgeons to have a virtual "x-ray vision." It is a highly valuable tool in healthcare, providing non-invasive diagnostics and in-depth ...
Enhancing Medical Multi-Label Image Classification Using PyTorch & Lightning
In the pivotal field of medical diagnostics, swift and accurate image classification plays a crucial role in aiding healthcare professionals' decision-making. The advent of deep learning, coupled with ...
Meet YOLO-NAS: New YOLO Object Detection Model Beats YOLOv6 & YOLOv8
Developing a new YOLO-based architecture can redefine state-of-the-art (SOTA) object detection by addressing the existing limitations and incorporating recent advancements in deep learning. Deep ...
An In-Depth Guide to Denoising Diffusion Probabilistic Models DDPM – Theory to Implementation
Diffusion probabilistic models are an exciting new area of research showing great promise in image generation. In retrospect, diffusion-based generative models were first introduced in 2015 and ...
Diffusion Models for Image Generation – A Comprehensive Guide
Diffusion models, including Glide, Dalle-2, Imagen, and Stable Diffusion, have spearheaded recent advances in AI-based image generation, taking the world of "AI Art generation" by storm. Generating ...