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Awesome GitHub RepositoriesFine-Tuning Frameworks
Tools and methods for adapting pre-trained models to specific domains or tasks, distinct from general training by their focus on weight adjustment rather than initial model creation.
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Awesome Fine-Tuning Frameworks 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
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
Pythonagentdeepseekdeepseek-r1
Explore sub-tags
- Speech Model Fine-TuningFrameworks that utilize efficient training techniques to adapt speech models for capturing unique vocal characteristics.
- Transfer Learning Techniques1 sub-tagMethods for training machine learning models by selectively updating network layers or maintaining compatibility with existing architectures.
- Vision Model Fine-TuningFrameworks that enable the selective fine-tuning of specific modules within vision models to balance training efficiency and performance.