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A framework to create deep reinforcement learning agents for the popular card game "Wizard". This includes a user interface to play the game, static playing algorithms (bots), a rating-system, game-data recording, ready-made agents etc.
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This project provides the textual resources/documents as a transcription of the witnesses stored in TEI/XML file format. It also covers processing of the data for long-term archiving (TextGrid). If you want to report a bug or ask questions about the project, please write an email to gitlab+subugoe-ahiqar-witnesses-31800-issue-@gwdg.de
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r studio docker container for deployment on kubernetes, based on r-data.analysis-r3.6.2_bioc3.10, including DESeq2 and wilson packages
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Companion repository for the course "Wohlbefinden Erhöhen mit Data Analytics" ("Increasing Well-Being With Data Analytics") taught at Georg-August-University Göttingen.
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fginfo / Göttinger Informatiktage / website-sit
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website infa.uni-goettingen.de
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