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This repository contains a gallery of sample notebooks illustrating the process of **creating projects and uploading models & datasets** to the Openlayer platform.
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## Why this repository exists?
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This repository fulfills two main goals:
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1. It demonstrates our Python API in action
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2. It provides simple examples that may be similar to the problems you are solving at your organization.
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We take privacy & security very seriously and understand that your models and datasets might contain sensitive or proprietary information. [Reach out to us](mailto:[email protected]) if you are interested in our on-premise solution.
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In the meantime, pick a task, model framework or problem that shares similarities with something you are working on and start exploring Openlayer right away!
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This repository contains a gallery of sample notebooks illustrating the use of the `openlayer` Python library.
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You can use it as a starting point for your projects, or together with the [documentation](https://openlayer.com/docs)
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and [API reference](https://www.openlayer.com/docs/api-reference/introduction).
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## What is Openlayer?
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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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Openlayer is an evaluation tool that fits into your **development**and **production** pipelines to help you ship high-quality models with confidence.
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👉 [Join our Slack community!](https://l.linklyhq.com/l/1DG73) We'd love to meet you and help you get started with Openlayer!
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👉 [Join our Discord community!](https://discord.gg/t6wS2g6MMB) We'd love to meet you and help you get started evaluating your AI models.
This repository complements the rest of the documentation. Navigate [here](https://docs.openlayer.com) for a quickstart guide and for in-depth tutorials. The full Python library reference can be found [here](https://reference.openlayer.com).
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This repository complements the rest of the documentation. Navigate [here](https://openlayer.com/docs) for quickstart guides and in-depth tutorials. The full Python library reference can be found [here](https://reference.openlayer.com/reference/index.html).
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## Contributing
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All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome! Just send us a message on [Slack](https://l.linklyhq.com/l/1DG73).
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All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome! Just send us a message on [Discord](https://discord.gg/t6wS2g6MMB).
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