# replace MY_PORT and MY_USERNAME with information from your email
ssh -L localhost:$MY_PORT:localhost:$MY_PORT $MY_USERNAME@gpu01.indiacms.res.in

# you should be logged into gpu01 now.
# In the next three commands, replace the values with your username, port and GPU name!
export MY_USERNAME=user1
export MY_PORT=9001
export MY_GPU=GPU-16d321bb-408b-f8d6-3efd-30cf8728fab9

#different github than yesterday
cd hsf-india; git clone https://github.com/hsf-india-may2023/ml_introduction.git

docker run -i -t --gpus device=$MY_GPU -e MY_PORT=$MY_PORT -p $MY_PORT:$MY_PORT -v $PWD:/notebook docker-2023hsfindia /bin/bash

# in the docker container
cd /notebook
jupyter lab --no-browser --port=$MY_PORT --ip=0.0.0.0 --allow-root

Copy and paste the url starting with 127.0.0.1 and open it in your laptop browser


When you open the Jupyter notebook make a new cell and run the following command to install xgboost:

import sys
!{sys.executable} -m pip install xgboost

To pull the latest changes in the cloned git repo:

cd ml_introduction
git pull