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René Knaebel 70d00efb01 refactor using joblib for test results, make h5py store/load more flexible
2017-09-08 13:55:13 +02:00
data
refactoring and adding standard files for .gitignore and .keep in data
2017-06-30 09:04:24 +02:00
models
change argument interface
2017-09-07 15:53:58 +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
change argument interface
2017-09-07 15:53:58 +02:00
dataset.py
refactor using joblib for test results, make h5py store/load more flexible
2017-09-08 13:55:13 +02:00
fancy.sh
set server to be not trainable too; refactor visualization script
2017-09-07 15:31:04 +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
refactor using joblib for test results, make h5py store/load more flexible
2017-09-08 13:55:13 +02:00
Makefile
refactor using joblib for test results, make h5py store/load more flexible
2017-09-08 13:55:13 +02:00
README.md
Init repo
2017-06-27 20:01:09 +02:00
run.sh
add window to file names for visualization
2017-09-07 17:38:21 +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
move vocab_size into implementation (not user dependent)
2017-07-30 13:47:11 +02:00
visualize.py
add parser argument for naming in multi model modes, minor fixes,
2017-09-05 12:40:37 +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 385 KiB
Languages
Python 99.7%
Makefile 0.3%