Vegas

Overview

Vegas is an open-source AutoML toolchain from Huawei Noah's Ark Lab that automates pipeline search, hyperparameter tuning, and network architecture search. It provides a unified framework for chaining multiple AutoML algorithms and supports tasks like classification, detection, and segmentation.

Best for

Best for
Developers and researchers needing a flexible AutoML framework for computer vision model optimization

Use cases

• Automating neural architecture search for image classification models
• Tuning hyperparameters and data augmentation pipelines jointly
• Building end-to-end AutoML pipelines for computer vision tasks

Notes

Vegas is an open-source AutoML toolchain from Huawei Noah’s Ark Lab that automates pipeline search, hyperparameter tuning, and network architecture search. It provides a unified framework for chaining multiple AutoML algorithms and supports tasks like classification, detection, and segmentation.

848 stars on GitHub. Last updated 2023-02-15.

Use cases

• Automating neural architecture search for image classification models
• Tuning hyperparameters and data augmentation pipelines jointly
• Building end-to-end AutoML pipelines for computer vision tasks

Pros

• Comprehensive AutoML support including NAS, HPO, and pipeline search
• Modular design allows chaining different AutoML algorithms
• Active community with 848 GitHub stars and Huawei backing

Cons

• Limited to Python and may require significant compute resources
• Documentation and examples could be more extensive
• Primarily focused on computer vision, less support for NLP or tabular data

Indexed from awesome-llmops and enriched against its public facts.