This is a short tutorial on applications of PyTorch in computational workflows making use of accelerated numerics and automatic differentiation. Here we look into analyzing and solving inverse problems as a case study.
You can run the notebooks for the tutorial on Google Colab using the following links:
Part 2: Automatic differentiation
Alternatively, you can run the notebooks locally provided you have PyTorch, scikit-image, and Matplotlib Python packages installed.