dswede43/jupyterlab-gpu repository overview

My Jupyterlab instance with GPU support for deep learning projects with TensorFlow. Additional libraries include pandas, numpy, matplotlib, seaborn, streamlit, scikit-learn, scipy, and statsmodels for machine learning/data science projects.

Docker run command:

docker run -d --rm --name jupyterlab -p 8888:8888 --gpus all -v /path/to/notebooks:/home/notebooks -v /path/to/config:/root/.jupyter dswede43/jupyterlab-gpu:latest

After starting, exec into the container and run jupyter server --generate-config to create a persistent server configuration.