YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World
A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the Worl...
A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the Worl...
How to upgrade and optimize legacy AI/ML models The post On the Challenge of Converting TensorFlow Models to PyTorch appeared first on Towards Data Science....
Overview For 25 years, the NVIDIA Graduate Fellowship Programhttps://research.nvidia.com/graduate-fellowships has supported graduate students doing outstanding...
Article URL: https://www.ycombinator.com/companies/saturn/jobs/R9s9o5f-senior-ai-engineer Comments URL: https://news.ycombinator.com/item?id=46144613 Points: 0...
Modern deep learning models require immense computational resources, motivating research into low-precision training. Quantised training addresses this by repre...
PyTorch Model Performance Analysis and Optimization — Part 11 The post Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampli...
Introduction Artificial intelligence AI is revolutionizing healthcare, but how do you take a powerful, general‑purpose AI model and teach it the specialized...
Opening the black box of ML models, step by step, directly in Excel The post The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint appe...
A practical experiment comparing Caching + Prefetching, Mixed Precision, and Gradient Accumulation Machine Learning engineers often celebrate higher accuracy, b...
Oral cancer is highly common across the globe and is mostly diagnosed during the later stages due to the close visual similarity to benign, precancerous, and ma...
The availability of high-quality, AI-generated audio raises security challenges such as misinformation campaigns and voice-cloning fraud. A key defense against ...
We propose Cross-Attention-based Non-local Knowledge Distillation (CanKD), a novel feature-based knowledge distillation framework that leverages cross-attention...