Service description
Web-based data science and machine learning with Jupyter
The "Jupyter" service offers researchers, teachers and learners at Leipzig University and its cooperation partners an interactive web interface for using high-performance computing resources for data science and machine learning.
Our service for you
The service offers users:
- initial consultation and user documentation
- Extensive software catalogue (e.g. Tensorflow, PyTorch, OpenCV, Keras etc.)
- Access within the network of Leipzig University
- Access to GPUs to accelerate calculations
* By clicking on this button, you confirm that you have taken note of the conditions for using this service.
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PREREQUISITES
The use of the service requires compliance with the following regulations:
- For all services of the University Computer Centre, the IuK usage regulations of the University Computer Centre of the University of Leipzig apply in principle. Misuse of services of the University Computer Centre may lead to the termination of the usage permit and, if applicable, to criminal proceedings.
IuK user regulations of the URZ
- Information Security Regulations and Data Protection Regulations of the Department for Data Protection and Information Security of the University of Leipzig
Information Security Regulations
Principles of information security
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The Data Protection Officer of the University of Leipzig must be consulted when personal data is collected.
If you have any questions about data protection, please contact the Data Protection Officer of the University of Leipzig.
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