2 repos
Configurable workflows that coordinate end-to-end deep learning tasks including data preparation, model training, and output conversion.
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YOLOv5 is a comprehensive computer vision framework designed for end-to-end deep learning, specializing in real-time object detection, image classification, and instance segmentation. It provides a unified toolkit that manages the entire lifecycle of a model, from initial dataset configuration and hyperparameter tuning
Coordinates end-to-end workflows that encompass dataset preparation, hyperparameter tuning, and model optimization.
Faceswap is a comprehensive framework for automated media manipulation and neural face synthesis. It provides a modular pipeline that manages the entire lifecycle of facial feature extraction, deep learning model training, and image conversion. By coordinating complex computer vision workflows, the system enables users
Bundles modular components for face extraction, model training, and image conversion to facilitate custom processing workflows.