Collection of dockerfiles to ease multiple system setups
github repo for building streaminterrupt/fastai
nvidia-docker run --rm --init -it --name container1 -p 8888:8888 streaminterrupt/fastai:cuda9-cudnn7-ubuntu16.04
github repo for building paperspace/fastai
nvidia-docker run --rm --init -it --name container1 -p 8888:8888 -w="/notebooks" paperspace/fastai:cuda9_pytorch0.3.0
OR
nvidia-docker run --rm --init -it --name container1 -d -p 8888:8888 -w="/notebooks" paperspace/fastai:cuda9_pytorch0.3.0
if you run docker using -d option then for getting jupyter link run docker logs <container-name> so in this case docker logs container1
echo "LAB=~/docker_mount/NVIDIALabs/" >> ~/.bashrc
nvidia-docker run --rm --init -it --name container1 -p 5000:5000 -p 8888:8888 -v $LAB:/LAB -w="/LAB" streaminterrupt/dl-lab:base
OR
nvidia-docker run --rm --init -it --name container1 -p 5000:5000 -p 8888:8888 -v $LAB:/LAB -w="/LAB" streaminterrupt/dl-lab:v3
cd ml-lab
// Configure below script and run
bash run_docker_jupyter.sh
github repo for building dockerfile
cd ROS-Melodic
// Configure below script and run
bash launch_docker.bash
github repo for building dockerfile
cd ROS-Kinetic
// Configure below script and run
bash launch_docker.bash