git clone https://github.com/FrancescoSaverioZuppichini/.dotfiles.git
cd .dotfiles
chmod 755 ./ubuntu20_04_setup.sh
sudo ./ubuntu20_04_setup.sh
sudo apt update
sudo apt upgrade
First disable nouveau
sudo bash -c "echo blacklist nouveau > /etc/modprobe.d/blacklist-nvidia-nouveau.conf"
sudo bash -c "echo options nouveau modeset=0 >> /etc/modprobe.d/blacklist-nvidia-nouveau.conf"
sudo reboot
Get Cuda 11
wget https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run
sudo sh cuda_11.7.0_515.43.04_linux.run
You need to manually install a driver >=450.6
You can find more drivers here
Install latest version of cudnn
wget https://developer.nvidia.com/compute/cudnn/secure/8.4.1/local_installers/11.6/cudnn-linux-x86_64-8.4.1.50_cuda11.6-archive.tar.xz
sudo sh cuda_11.7.0_515.43.04_linux.run
sudo apt install zsh
# zsh as default shell
sudo sh -c "echo $(which zsh) >> /etc/shells" && chsh -s $(which zsh)
sh -c "$(wget -O- https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)"
git clone https://github.com/zsh-users/zsh-autosuggestions ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-autosuggestions
git clone https://github.com/zsh-users/zsh-completions ${ZSH_CUSTOM:=~/.oh-my-zsh/custom}/plugins/zsh-completions
git clone https://github.com/zsh-users/zsh-syntax-highlighting.git ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-syntax-highlighting
sudo apt install autojump
sudo apt install neofetch
curl https://build.opensuse.org/projects/home:manuelschneid3r/public_key | sudo apt-key add -
echo 'deb http://download.opensuse.org/repositories/home:/manuelschneid3r/xUbuntu_20.04/ /' | sudo tee /etc/apt/sources.list.d/home:manuelschneid3r.list
sudo wget -nv https://download.opensuse.org/repositories/home:manuelschneid3r/xUbuntu_20.04/Release.key -O "/etc/apt/trusted.gpg.d/home:manuelschneid3r.asc"
sudo apt update
sudo apt install albert
Cerebro seems a nice alternative but they have to update their binaries
sudo apt install plank
wget -O /tmp/hyper_amd64.deb https://releases.hyper.is/download/deb
dpkg -i /tmp/hyper_amd64.deb
apt update
wget -q https://packages.microsoft.com/keys/microsoft.asc -O- | sudo apt-key add -
sudo add-apt-repository "deb [arch=amd64] https://packages.microsoft.com/repos/vscode stable main"
sudo apt update
sudo apt install code
sudo apt-get install \
apt-transport-https \
ca-certificates \
curl \
gnupg \
lsb-release
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
echo \
"deb [arch=amd64 signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update
apt-get install docker-ce docker-ce-cli containerd.io
# to verify run sudo docker run hello-world
usermod -aG docker $USER
# docker compose
sudo curl -L "https://github.com/docker/compose/releases/download/1.28.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list \
&& \
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
E.g.
docker run --gpus all -v /home/zuppif/.../:/workspace --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 -it --rm nvcr.io/nvidia/pytorch:22.06-py3
wget -O /tmp/Anaconda3-2021.11-Linux-x86_64.sh https://repo.anaconda.com/archive/Anaconda3-2021.11-Linux-x86_64.sh
# sha256sum Anaconda3-2021.11-Linux-x86_64.sh
chmod 755 /tmp/Anaconda3-2021.11-Linux-x86_64.sh
/tmp/Anaconda3-2020.11-Linux-x86_64.sh
# create conda env for deep learning (run from current shell)
source ~/anaconda3/etc/profile.d/conda.sh
conda create -n dl python=3.8
conda activate dl
pip install -R requirements.txt
conda activate dl
pip uninstall pillow
CC="cc -mavx2" pip install -U --force-reinstall pillow-simd
# Add to sources
echo "deb https://dl.bintray.com/getinsomnia/Insomnia /" \
| sudo tee -a /etc/apt/sources.list.d/insomnia.list
# Add public key used to verify code signature
wget --quiet -O - https://insomnia.rest/keys/debian-public.key.asc \
| sudo apt-key add -
# Refresh repository sources and install Insomnia
sudo apt-get update
sudo apt-get install insomnia
Releases from here
# Using Ubuntu
curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
sudo apt-get install -y nodejs
sudo apt install apt-transport-https curl gnupg
curl -s https://brave-browser-apt-release.s3.brave.com/brave-core.asc | sudo apt-key --keyring /etc/apt/trusted.gpg.d/brave-browser-release.gpg add -
echo "deb [arch=amd64] https://brave-browser-apt-release.s3.brave.com/ stable main" | sudo tee /etc/apt/sources.list.d/brave-browser-release.list
sudo apt update
sudo apt install brave-browser
sudo apt-get install imagemagick -y
Different files are symbolically linked to my ~
here there is a nice explanation about each file in the zsh ecosystem.
A cat(1) clone with wings.
sudo apt install bat -y
bat clash with another package, let's fix it
mkdir -p ~/.local/bin
ln -s /usr/bin/batcat ~/.local/bin/bat
Supercharge your stacktrace
pip install rich
cd $(python -c 'import site; print(site.getsitepackages()[0])')
mkdir sitecustomize
cd sitecustomize
echo "from rich.traceback import install\install()" >> __init__.py
Open
gnome-extensions-app
And you should be able to see user themes and you set it from here, otherwise restart gnome with alt + f2 and type r