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Data Augmentation · Awesome GitHub Repositories

2 repos

Awesome GitHub RepositoriesData Augmentation

Techniques and pipelines used to artificially expand training datasets by creating modified versions of existing data.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Data Augmentation. Refine with filters or upvote what's useful.

  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning Pipelines
  4. Data Ingestion and Preparation
  5. Data Augmentation

Awesome Data Augmentation GitHub Repositories

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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

    Pythoncoremldeep-learningios
  • deepfakes/faceswap

    deepfakes/faceswap

    54,974GitHubView on GitHub↗

    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

    Pythondeep-face-swapdeep-learningdeep-neural-networks

Explore sub-tags

  • Custom Augmentation PipelinesUser-defined image transformation methods applied during training or inference.