Medical imaging is pivotal in modern healthcare, enabling diagnosis, treatment planning, and disease monitoring across modalities like MRI, CT, and pathology slides. However, developing robust AI ...
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SANA-Sprint: The One-Step Revolution in High-Quality AI Image Synthesis
The domain of image generation has achieved remarkable milestones, particularly through the advent of diffusion models. However, a persistent challenge has been the computational cost associated with ...
FramePack: Video Diffusion, but feels like Image Diffusion
Ever watched an AI-generated video and wondered how it was made? Or perhaps dreamed of creating your own dynamic scenes, only to be overwhelmed by the complexity or the need for supercomputer-like ...
Model Weights File Formats in Machine Learning
As Machine Learning and AI technologies continue to advance, the need for efficient and secure methods to store, share, and deploy trained models becomes increasingly critical. Model weights file ...
Unsloth: A Guide from Basics to Fine-Tuning Vision Models
Unsloth has emerged as a game-changer in the world of large language model (LLM) fine-tuning, addressing what has long been a resource-intensive and technically complex challenge. Adapting models like ...
Understanding Iterative Closest Point (ICP) Algorithm with Code
Iterative Closest Point (ICP) is a widely used classical computer vision algorithm for 2D or 3D point cloud registration. As the name suggests it iteratively improves and minimizes the spatial ...
