Deep Gaussian inversion

This repository contains an implmentation of a deep Gaussian inversion using Galerkin method.

This repository is tested to run against these packages

1. Numba version should be later than 0.47,
2. CUPY version 7.0.0bc3, with CUDA version 10.1,
3. Standard installation of numpy and scipy,
4. h5py.
5. Python version 3.7.
6. Replace your .conda/envs/xxxx/lib/python3.7/site-packages/cupy/linalg/norms.py with the one in the patch folder.

Explanation of files and folders:

1. To run the MCMC, run twoDsim.py.
2. This repository is a companion of an arXiv paper, Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion

As this repository is a working folder, things might break without notification. Should you face any problem, please contact muhammad.emzir@aalto.fi.