Try out the examples in the examples folder using the binder service. The package can also be installed on Google Colab using the commands: The easiest way to get started with the Control Systems ...

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place ...

Tested with Python 3.10.13, PyTorch 2.5.1, CUDA 12.6. Dependencies are captured in two files at the repo root: environment.yml (conda — canonical) and requirements.txt (pip-only pins).