MLOps oriented framework for trustworthy Edge-AI
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Overity.ai - MLOps oriented framework for trustworthy Edge-AI
🚧 Overity.ai is currently under heavy development. Initial release is planned for end of 2025. Leave a star to stay informed! 🚧
Overity.ai is a open-source MLOps oriented framework for optimization, qualification, and deployment of Edge-AI models in critical systems, focusing on traceability and trustworthy AI.
It helps you organize training, optimization and validation methods, track and version your datasets and models with complete traceability graphs, as well as leveraging Hardware-In-The-Loop (HIL) testing to validate embedded use-cases.
Whether it's for local development or complex deployments in complete MLOps environments, Overity.ai provides all the necessary tools to create the next ground-breaking Edge-AI Revoluuuuuuuution! :smile:
Getting started
To get started, please refer to the Getting started guide.
Contributing
If you want to contribute, please refer to the contributing guidelines.
License
This project is licensed under the terms of the terms of the Apache 2.0 license. Please refer to the LICENSE file for more information.
Main authors
- Florian Dupeyron (florian.dupeyron@elsys-design.com) : Project leader and creator
Contact Us
Please send an email at community@elsys-design.com
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