Monte Carlo simulation for SDEs with variance reduction methods

This library provides PyTorch implementation (with GPU support) of:

1. Numerical integration of Stochastic Differential Equations driven by Lévy noise
2. Monte Carlo methods to compute the expectation of a functional of the terminal value
3. Variance reduction techniques using Deep Learning