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Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.
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DC motor control; for SYRT lecture
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all of the libtrainsim json formats as a go library
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This is a simple command line program to create train_properties files. It is written in go, so it is fast and works on every platform.
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Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.
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Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.
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Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.
-
Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.
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Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.
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Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.
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Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.
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Fachbereich 13 - MND, Wirtschaftsinformatik BSc., WK_1106 Wirtschaftsinformatik-Projekt 1 (Softwaretechnik), Gruppe 16
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This repository contains custom docker containers to speed up the build of libtrainsim.
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This repository contains the library for making train simulators
