awesome-repositories.com
© 2026 Bringes Technology SRL·VAT RO45896025·hello@bringes.io
MCPSitemapPrivacyTerms
Training Observability Systems · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesTraining Observability Systems

Platforms for real-time logging, visualization, and monitoring of metrics during active model training runs.

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Training Observability Systems. Refine with filters or upvote what's useful.

  1. Home
  2. Artificial Intelligence & ML
  3. Artificial Intelligence & Machine Learning
  4. Machine Learning Operations
  5. Training Observability Systems

Awesome Training Observability Systems GitHub Repositories

Describe the repository you're looking for…
We'll search the best matching repositories with AI.
  • hiyouga/LlamaFactory

    hiyouga/LlamaFactory

    67,386GitHubView on GitHub↗

    LlamaFactory is a unified framework for fine-tuning and adapting large language models. It provides a comprehensive platform that standardizes training workflows across diverse machine learning architectures, allowing users to execute both full-tuning and parameter-efficient methods through a single interface. The pro

    Pythonagentaideepseek
  • 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
  • ultralytics/ultralytics

    ultralytics/ultralytics

    53,426GitHubView on GitHub↗

    Ultralytics is a comprehensive computer vision framework designed for training, validating, and deploying deep learning models across a wide range of visual recognition tasks. It provides a unified interface for core operations including object detection, instance segmentation, pose estimation, and image classification

    Pythonclicomputer-visiondeep-learning

Explore sub-tags

  • Experiment TrackingSystems for monitoring training progress and performance metrics in real time to evaluate model quality.
  • Experiment Tracking IntegrationsInterfaces that connect machine learning workflows to external platforms for automated experiment tracking and version control.
  • Training Monitoring ToolsSoftware components that track and visualize training progress and performance metrics during the model development process.