More in depth notebooks are at

1. Making a professional Monte Carlo code for quantum mechanical simulations https://github.com/CompPhysics/ComputationalPhysics2/blob/gh-pages/doc/pub/notebook1/ipynb/notebook1.ipynb
2. From Variational Monte Carlo to Boltzmann Machines https://github.com/CompPhysics/ComputationalPhysics2/blob/gh-pages/doc/pub/notebook2/ipynb/notebook2.ipynb

Feel free to try them out and please don't hesitate to ask if something is unclear.

And look up the FRIB-TA summer school at MSU May 20-23 on Machine Learning for Nuclear Physics.