In order to enable an iCal export link, your account needs to have an API key created. This key enables other applications to access data from within Indico even when you are neither using nor logged into the Indico system yourself with the link provided. Once created, you can manage your key at any time by going to 'My Profile' and looking under the tab entitled 'HTTP API'. Further information about HTTP API keys can be found in the Indico documentation.
Additionally to having an API key associated with your account, exporting private event information requires the usage of a persistent signature. This enables API URLs which do not expire after a few minutes so while the setting is active, anyone in possession of the link provided can access the information. Due to this, it is extremely important that you keep these links private and for your use only. If you think someone else may have acquired access to a link using this key in the future, you must immediately create a new key pair on the 'My Profile' page under the 'HTTP API' and update the iCalendar links afterwards.
Permanent link for public information only:
Permanent link for all public and protected information:
GPU computing & Machine learning regular meeting at DESY - Infrastructure for Deep Learning and GPU computing @ DESY-IT(1/7)
Seminar Room 4b (DESY Geb 1b, 2.OG)
Seminar Room 4b
DESY Geb 1b, 2.OG
- available compute resources in Maxwell, BIRD and beyond
- Software frameworks for ML/DL applications
- JupyterHub for ML/DL
- Container for ML/DL
In November DESY IT invited a number of experts in machine learning, deep learning and GPU computing from the DESY campus, to a round table to present and discuss the use of the respective tools. At that meeting it was concluded to have a regular meeting/seminar/get together. The seminar talks will mainly be done by your colleagues from the various institutes on the DESY campus. The idea is to have presentations, which only to a small extend focus on the presenters scientific topics, but largely cover the Deep Learning and GPU computing techniques used. At least at the beginning of the seminar series we aim at a beginner level introduction to the used networks, architectures, libraries, concepts… Within the seminar there is also space to discuss, show, present your own challenges, where you possibly seek advise from one of the more advanced colleagues.