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.
Awesome Transfer Learning Techniques GitHub Repositories
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- ultralytics/yolov5
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
Disables gradient updates for specific neural network layers to facilitate effective transfer learning.
Pythoncoremldeep-learningios - unslothai/unsloth
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
Efficient fine-tuning techniques enable the optimization of embedding models while maintaining full compatibility with existing data pipelines and encoder architectures.
Pythonagentdeepseekdeepseek-r1
