My master thesis project on malware detection using neural networks and multi task learning
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René Knaebel 27f4d086eb add matplotlib agg mode; update beta vis function according to test results 2017-11-10 11:04:27 +01:00
data refactoring and adding standard files for .gitignore and .keep in data 2017-06-30 09:04:24 +02:00
models extract weighting function 2017-11-10 10:18:13 +01:00
scripts remove model selection based on validation loss 2017-09-16 15:25:34 +02:00
.gitignore add visualization for training curves, pr, roc 2017-07-14 14:58:17 +02:00
Makefile remove identical parameter from data loading function; add runs argument 2017-11-07 20:47:41 +01:00
README.md Init repo 2017-06-27 20:01:09 +02:00
arguments.py add parameter for hyper band iteration, use hyperband results in new runs 2017-11-08 11:09:56 +01:00
dataset.py extract weighting function 2017-11-10 10:18:13 +01:00
fancy.sh refactor hyperband; fix domain generation 2017-11-04 12:47:08 +01:00
hyperband.py move model creation back into models package 2017-11-07 20:09:20 +01:00
main.py add matplotlib agg mode; update beta vis function according to test results 2017-11-10 11:04:27 +01:00
rerun_models.sh refactor hyperband implementation 2017-09-29 22:59:57 +02:00
run.sh add first version of model averaging visualization 2017-09-26 19:25:37 +02:00
run_model.sh move model creation back into models package 2017-11-07 20:09:20 +01:00
run_model_rene.sh add first version of model averaging visualization 2017-09-26 19:25:37 +02:00
server.py remove identical parameter from data loading function; add runs argument 2017-11-07 20:47:41 +01:00
test.sh add parser argument for naming in multi model modes, minor fixes, re-set fix vals for network - need to make them flexible 2017-09-05 17:40:57 +02:00
utils.py add bulk embedding visualization and deep1 network 2017-10-09 14:19:01 +02:00
visualize.py add matplotlib agg mode; update beta vis function according to test results 2017-11-10 11:04:27 +01:00

README.md

This is the init commit for my master thesis project.