Quick script to setup SSH to Kaggle Kernel for Deep Learning. In order to use that sexy P100 for free :P

• Step 1: Create a new Kaggle kernel

• Step 2: Go to Kernel Settings and turn on GPU and Internet

  

• Step 3: Copy the whole content of the get_ssh.py

• Step 4: Click Commit on the top right conner and wait a minutes for everything to set up. You should see a pop-up windows

  Save theRoot user , Root password and Port to somewhere else since you won't be able to see this information after you close this windown

• ssh -J teleport.anhdh.com root@User -p Port <-- port number dictated in above output
• With root password also dictated in above output
• You can turn off the browser, disconnect from the server and it will still running. But keep in mind this server can only live for 9 hours at max.

• Kaggle Kernel already provide many Machine Learning and Deep Learning package and library ready to use with a powerful NVIDIA Tesla P100 GPU so you might be good to go. But if you want something more that I usually use. Run this to get more:

  cd ~
  wget https://github.com/lamhoangtung/kaggle-kernel-setup/raw/master/install_common.sh
  chmod 777 install_common.sh
  ./install_common.sh

  And follow the instruction.

• You only need to Commit again in the same kernel to get everything up and running again after terminate the server. Root password and host address information will be reset each time you commit.

• You will need multiple Kaggle account to get multiple server at the same time.

• Go to https://www.kaggle.com/kernels and look at the Your Recent Kernels section and hit Stop.

  

• If you encounter any problem while setting up the connection. Please terminate the server as above. Then open the kernel in editor mode and go to Run > Power off, then turn it on manually.

  

• Keep in mind everything will be lost (including process and files, ...) when you Power off or Terminate the kernel

scp -o "ProxyJump teleport.anhdh.com" -rp face-recognition root@kaggle:/root/projects