Implements neural network ansatze for bosonic and fermionic systems in 1 dimension. Written using jax.

For methodology, see:

• Neural network solutions of bosonic quantum systems in one dimension
• Machine learning approach to trapped many-fermion systems

mc.py contains Monte Carlo sampling functions, and nnvmc.ipynb provides an example training setup for a bosonic system with delta function contact interactions and a long range pairwise potential.