Interactive H.264 Guide: Video Compression Visuals
Interactive H.264 video compression guide with visualizations. Explore motion estimation, DCT transforms, quantization, and rate-distortion optimization.
Deep dive into machine learning, computer vision, and software engineering. Expert insights on AI, local LLMs, quantization, and practical implementation details from real-world projects.
Interactive H.264 video compression guide with visualizations. Explore motion estimation, DCT transforms, quantization, and rate-distortion optimization.
Understand GGML file structure and quantization formats used by local LLMs. Visual guide to how llama.cpp stores and loads model weights efficiently.
Master neural network quantization with interactive visualizations. Explore QAT, PTQ, GPTQ, AWQ, and SmoothQuant methods for efficient model deployment.
Explore TensorRT optimization: layer fusion, INT8 quantization, kernel auto-tuning, and deployment strategies with 8+ interactive visualizations.
Dive deep into Kernel Fusion, a technique that combines multiple neural network operations into unified kernels improving performance in deep learning models.
Visual guide to YOLOv5 architecture for beginners. Understand backbone, neck, and detection head components with step-by-step visualizations.