The official Python API library for Openlayer: the Testing and Debugging Platform for AI
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Openlayer is a debugging workspace for ML & Data Science. Openlayer combines and builds upon SOTA techniques in explainability, model and dataset versioning, synthetic data generation, data-centric testing and much more to form a powerful, unified platform for model development.
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This is the official Python library for interacting with the Openlayer platform. Navigate here for a quickstart guide and for in-depth tutorials.
This library's primary function is to enable you to easily package your models and datasets and add them to your Openlayer account.
Install with PyPI (pip)
pip install --upgrade openlayer
or install with Anaconda (conda)
conda install openlayer --channel conda-forge
The official documentation for this Python library can be found here.
All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome! Just send us a message on Slack.
FAQs
The official Python API library for Openlayer: the Testing and Debugging Platform for AI
We found that openlayer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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