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AG-Compute-public
deep-learning-with-gpu-cores
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Created with Raphaël 2.2.0
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Feb
fixed typo
main
main
Edit README.md: rm different software stack
added working RStudio example
added building script for dlc-python-r
added new custom container for ML work with Python and R
Update 2 files
rm software stack from building scripts as it is now default
Container README updated according to changes in the Jupyter Service
Added correct link for NHR applications
added trainig script for testing run in kisski
Upload New File
Update submit_train_dlc.sh
Update submit_train_dlc.sh
Updated link to docs
Update path to container in submit_train_dlc.sh
Update README.md
Update docs.hpc.gwdg.de links in README.md
Fixed wring jupyterhub profile
Upload New File
Update hostname in README.md
Update README.md
Update README.md
Update README.md
edited container building scripts to make them work with KISSKI accounts
Update README.md
Update submit_train_dlc.sh
Update README.md
removed mail definition in sbtach script to send mail to default mailadress
Update submit_test.sh to fit kisski partitions
Update submit_test.sh to load new software stack
Update submit_train.sh to load new software stack
Update submit_train.sh
Update submit_train.sh to fit kisski training platform
Update README.md
Update README.md
replace anaconda with miniconda in submit_train.sh
replace anaconda with miniconda in submit_test.sh
Update README.md
Added rough ideas on hands on session for containers to README.md
added new agenda
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