ml-workspace

Why we included this project

A preconfigured Docker image is often the fastest way to get a complete machine learning environment without spending an afternoon on package conflicts, and that is exactly what this project offers. Pull the image, run it, and the browser gives you Jupyter, JupyterLab, and VS Code alongside TensorBoard, with TensorFlow, PyTorch, and scikit-learn already installed and set up to work together. There is also a full Linux desktop that runs in the browser, which helps when a notebook interface is too limiting for the task. Teams get a shared setup with Git integration built in, and solo practitioners get a machine they can start modeling on in minutes rather than hours.