Add JupyterLab Integrations Docs Page (#14755)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Abirami Vina 2024-07-29 05:31:56 +05:30 committed by GitHub
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@ -53,6 +53,8 @@ Welcome to the Ultralytics Integrations page! This page provides an overview of
- [Kaggle](kaggle.md): Explore how you can use Kaggle to train and evaluate Ultralytics models in a cloud-based environment with pre-installed libraries, GPU support, and a vibrant community for collaboration and sharing.
- [JupyterLab](jupyterlab.md): Find out how to use JupyterLab's interactive and customizable environment to train and evaluate Ultralytics models with ease and efficiency.
## Deployment Integrations
- [Neural Magic](neural-magic.md): Leverage Quantization Aware Training (QAT) and pruning techniques to optimize Ultralytics models for superior performance and leaner size.