https://github.com/exasol/ai-lab

Development environment for data science developers
https://github.com/exasol/ai-lab

exasol exasol-integration language-container script-languages

Last synced: about 1 year ago
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Development environment for data science developers

• Host: GitHub
• URL: https://github.com/exasol/ai-lab
• Owner: exasol
• License: mit
• Created: 2023-09-25T10:00:05.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-04-03T14:44:10.000Z (about 1 year ago)
• Last Synced: 2025-04-03T15:41:49.650Z (about 1 year ago)
• Topics: exasol, exasol-integration, language-container, script-languages
• Language: Python
• Homepage:
• Size: 2.81 MB
• Stars: 3
• Watchers: 4
• Forks: 0
• Open Issues: 35
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Exasol AI-Lab

The Exasol AI-Lab is a pre-configured container designed to empower data scientists. It streamlines common data science and AI tasks, including data loading, preparation, exploration, model training, and deployment. Whether you’re a seasoned practitioner or just getting started, the AI-Lab provides a hassle-free experience.

![Transformers Extension](https://github.com/exasol/ai-lab/blob/3.1.0/doc/user_guide/ai-lab-screenshot.png)

Key Features:

* Jupyter Notebook Environment: The heart of the AI-Lab is a robust Jupyter Notebook environment. It’s where you’ll work on your data science projects.

* Exasol Integration: Leverage Exasol’s power for your AI and machine learning use cases. The AI-Lab includes essential Exasol packages, extensions, and configuration tasks.

* Example Notebooks: Jumpstart your work with ready-to-use example notebooks. Explore classic machine learning scenarios (think scikit-learn), seamlessly integrate Exasol with AWS Sagemaker, and tap into Huggingface models directly within Exasol.

Feel free to explore the Exasol AI-Lab and unleash your data science potential!

The AI-Lab is available in multiple [Editions](https://github.com/exasol/ai-lab/blob/3.1.0/doc/user_guide/editions.md) involving different technology stacks, see also common [System Requirements](https://github.com/exasol/ai-lab/blob/3.1.0/doc/user_guide/system-requirements.md).

After downloading the required files and having started the AI-Lab you can connect to AI-Lab's [Jupyter Service](https://github.com/exasol/ai-lab/blob/3.1.0/doc/user_guide/jupyter.md).

## Additional Links

* [Troubleshooting](doc/user_guide/troubleshooting.md)

* [Developer Guide](https://github.com/exasol/ai-lab/blob/3.1.0/doc/developer_guide/developer_guide.md)