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| FROM pytorch/pytorch:1.9.0-cuda11.1-cudnn8-devel | |
| RUN apt-get update & apt-get -y install bc unzip git htop vim ffmpeg libsm6 libxext6 libgl1-mesa-glx | |
| RUN pip install jupyterlab | |
| RUN pip install matplotlib | |
| RUN pip install opencv-python | |
| RUN pip install scikit-image | |
| RUN pip install scikit-learn | |
| RUN pip install seaborn |
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| from scholarly import scholarly | |
| listpubs = """ | |
| Embedding watermarks into deep neural networks | |
| Turning your weakness into a strength: Watermarking deep neural networks by backdooring | |
| DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks | |
| Protecting intellectual property of deep neural networks with watermarking | |
| DeepSigns: A Generic Watermark- ing Framework for IP Protection of Deep Learning Models | |
| Adversarial Frontier Stitching for Remote Neural Network Watermarking | |
| Watermarking deep neural networks for embedded systems |
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| #!/bin/bash | |
| # | |
| # script to extract ImageNet dataset | |
| # ILSVRC2012_img_train.tar (about 138 GB) | |
| # ILSVRC2012_img_val.tar (about 6.3 GB) | |
| # make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory | |
| # | |
| # https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md | |
| # | |
| # train/ |
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| #!/bin/bash | |
| wget https://upload.wikimedia.org/wikipedia/en/9/94/Snipping_Tool_10_Icon.png ~/Pictures/snipping.png | |
| cd ~/.local/share/applications/ | |
| echo "[Desktop Entry]" > snipping-tools.desktop | |
| echo "Version=1.0" >> snipping-tools.desktop | |
| echo "Name=Snipping Tools" >> snipping-tools.desktop | |
| echo "Comment=A shortcut like Window Snipping Tools" >> snipping-tools.desktop | |
| echo "Exec=/usr/bin/gnome-screenshot -a -i" >> snipping-tools.desktop |