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ma_cisco_malware
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1da31cc97cdb55f5e2ef2019e66da7b979020329
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René Knaebel
1da31cc97c
visualize per user stats
2017-09-04 13:37:26 +02:00
data
refactoring and adding standard files for .gitignore and .keep in data
2017-06-30 09:04:24 +02:00
models
refactor visualization, change arguments for model type and its depth
2017-09-01 10:42:26 +02:00
scripts
fix test predictions depending on model output specification
2017-08-03 07:51:58 +02:00
.gitignore
add visualization for training curves, pr, roc
2017-07-14 14:58:17 +02:00
arguments.py
refactor visualization, change arguments for model type and its depth
2017-09-01 10:42:26 +02:00
dataset.py
load names with data for per-user evaluation
2017-09-02 16:02:48 +02:00
hyperband.py
fix chunks per user function bug caused by numpy version of array_split
2017-07-16 18:49:14 +02:00
main.py
visualize per user stats
2017-09-04 13:37:26 +02:00
Makefile
refactor visualization, change arguments for model type and its depth
2017-09-01 10:42:26 +02:00
README.md
Init repo
2017-06-27 20:01:09 +02:00
run.sh
refactor visualization, change arguments for model type and its depth
2017-09-01 10:42:26 +02:00
test.sh
update test script with bash loop
2017-09-02 12:58:48 +02:00
utils.py
move vocab_size into implementation (not user dependent)
2017-07-30 13:47:11 +02:00
visualize.py
load names with data for per-user evaluation
2017-09-02 16:02:48 +02:00
README.md
This is the init commit for my master thesis project.
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%
