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Awesome GitHub RepositoriesCompression Techniques

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  • ultralytics/yolov5

    ultralytics/yolov5

    56,830GitHubView on GitHub↗

    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

    Retrains pruned models with reduced learning rates to allow parameters to recover accuracy after removing redundancies.

    Pythoncoremldeep-learningios

Explore sub-tags

  • Model EnsemblingMethods that combine predictions from multiple models to improve overall accuracy and robustness.
  • Model PruningThe process of removing redundant parameters from a neural network to reduce model size and computational requirements.