Search Results for "model-builder"

Super comprehensive deep learning notes is a massive and well-structured collection of deep learning notebooks that serve as a comprehensive study resource for anyone wanting to learn or reinforce concepts in computer vision, natural language processing, deep learning architectures, and even large-model agents. The repository contains hundreds of Jupyter notebooks that are richly annotated and organized by topic, progressing from basic Python and PyTorch fundamentals to advanced neural network designs like ResNet, transformers, and object detection algorithms. It’s not just a dry code repository; it includes theoretical explanations alongside hands-on examples, loss function explorations, optimization routines, and full end-to-end experiments on real datasets, making it highly suitable for both self-study and classroom use.

...The project also treats analytics as a first-class feature, capturing click activity and breaking it down by referrer, geography, device, browser, and campaign parameters to support marketing and operational reporting. For teams, it includes an account and permission model so multiple users can collaborate while keeping control over who can create, edit, or view links.