rene/ma_cisco_malware
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rene b24fa770f9 change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00
data
refactoring and adding standard files for .gitignore and .keep in data
2017-06-30 09:04:24 +02:00
models
add hyperband savefile config, minor change of parameter name
2017-10-03 18:58:54 +02:00
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
arguments.py
add hyperband savefile config, minor change of parameter name
2017-10-03 18:58:54 +02:00
dataset.py
refactor all visualization for pauls changes - evaluate on max windows per users
2017-09-08 22:59:55 +02:00
fancy.sh
remove regularizer for conv and domain
2017-09-10 23:40:14 +02:00
hyperband.py
change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00
main.py
change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00
Makefile
change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00
README.md
Init repo
2017-06-27 20:01:09 +02:00
rerun_models.sh
refactor hyperband implementation
2017-09-29 22:59:57 +02:00
run_model_rene.sh
add first version of model averaging visualization
2017-09-26 19:25:37 +02:00
run_model.sh
add first version of model averaging visualization
2017-09-26 19:25:37 +02:00
run.sh
add first version of model averaging visualization
2017-09-26 19:25:37 +02:00
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
change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00
visualize.py
change hyperband to count minimal val_loss over all losses
2017-10-05 12:55:46 +02:00

README.md

This is the init commit for my master thesis project.

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Description
My master thesis project on malware detection using neural networks and multi task learning
Readme
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Python 99.7%
Makefile 0.3%