Artifact-ML experiment orchestration: declarative builder toolkit for reusable validation workflows with integrated tracking.
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⚙️ artifact-experiment
Declarative builder toolkit for reusable validation workflows with integrated tracking.
📋 Overview
artifact-experiment constitutes the experiment orchestration extension to Artifact-ML.
It provides tools to build reusable validation workflows with integrated tracking.
It stands alongside:
artifact-core: a declarative interface for the computation of validation artifacts in ML experiments.artifact-torch: PyTorch integration for building reusable deep-learning workflows declaratively.
🚀 Installation
Clone the Artifact-ML monorepo by running:
git clone https://github.com/vasileios-ektor-papoulias/artifact-ml.git
Install the artifact-experiment package by running:
cd artifact-ml/artifact-experiment
poetry install
📚 Documentation
Documentation for artifact-experiment is available at artifact-experiment docs.
🤝 Contributing
Contributions are welcome!
Please consult our contribution guidelines document.
📄 License
This project is licensed under the MIT License.
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