Guild AI is an open-source experiment tracking toolkit designed to bring systematic control to machine learning workflows, enabling users to build better models faster. It automatically captures every detail of training runs as unique experiments, facilitating comprehensive tracking and analysis. Users can compare and analyze runs to deepen their understanding and incrementally improve models. Guild AI simplifies hyperparameter tuning by applying state-of-the-art algorithms through straightforward commands, eliminating the need for complex trial setups. It also supports the automation of pipelines, accelerating model development, reducing errors, and providing measurable results. The toolkit is platform-agnostic, running on all major operating systems and integrating seamlessly with existing software engineering tools. Guild AI supports various remote storage types, including Amazon S3, Google Cloud Storage, Azure Blob Storage, and SSH servers.
Features
- Guild automatically captures every detail of your training runs as unique experiments
- Use results to deepen your understanding and incrementally improve your models
- Find optimal hyperparameters without setting up complicated trials
- Accelerate model development, eliminate costly errors, and measure results
- Train on GPU accelerated systems running on any cloud or on-prem environment
- Share your results with colleagues through HTML, Markdown or LaTex based reports