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Transfer Learning Techniques · Awesome GitHub Repositories

2 repos

Awesome GitHub RepositoriesTransfer Learning Techniques

Methods for training machine learning models by selectively updating network layers or maintaining compatibility with existing architectures.

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

  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning Pipelines
  4. Machine Learning Training
  5. Fine-Tuning Frameworks
  6. Transfer Learning Techniques

Awesome Transfer Learning Techniques 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
  • unslothai/unsloth

    unslothai/unsloth

    52,461GitHubView on GitHub↗

    Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade

    Pythonagentdeepseekdeepseek-r1

Explore sub-tags

  • Embedding Model Fine-TuningTechniques for training models that generate vector representations of data.