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Pytorch implementation of MalConv

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Hey together, i run ```bash (myenv) mnoppel@srv:~/projects/MalConv-Pytorch$ python3 train.py config/example.yaml 123 Usage: python3 run_exp.py ``` like explained in the readme.md. Any idea what might be wrong? Kind regards, Max

fixes some typos in example.yaml

Hi When I run your repo (training code), dataloader reads file name from a file that keeps file name and label as you instructed. But I got a problem with...

I might be because of the newest version of pytorch or something else, but `loss.cpu().data.numpy()` is no longer a list and thus should be changed. Before: https://github.com/Alexander-H-Liu/MalConv-Pytorch/blob/939cb59ff1338dbc2b71a186f03bbc677b05c408/train.py#L151 https://github.com/Alexander-H-Liu/MalConv-Pytorch/blob/939cb59ff1338dbc2b71a186f03bbc677b05c408/train.py#L183 Now ```...

Current `yaml.load` has a depreciated behavior: ``` train.py:21: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. conf = yaml.load(open(config_path,'r'))...

Thank you for the work. One simple thing that is missing is the `requirements.txt` that lists all necessary python packages. To my experience running your package, and from a simple...

python3 train.py Is there any constrains or rule to set the random seed?

The class `MalConv` in this repo appears to be missing the ReLU activation after applying the first fully-connected layer. From page 10 of "Malware Detection by Eating a Whole EXE,"...

pytorch version: 0.4.0 pandas version: 0.24.1 python3 train.py config/example.yaml 123 --> Experiment: example_sd_123 Training Set: Total 2 files Malware Count : 1 Goodware Count: 1 Validation Set: Total 2 files...