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Code to partially reproduce results in "Deep Bayesian inference for seismic imaging with tasks", Geophysics 2022

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Deep Bayesian inference for seismic imaging with tasks

Code to partially reproduce results in Deep Bayesian inference for seismic imaging with tasks.

Installation

For further development and to run the examples, clone the repository and install the package in editable mode. Make sure to adapt CUDA version in setup.cfg to the one installed on your system by specifying in as torch-cuda==XY.Z.

# Create a new conda environment.
conda create --name dp4imaging "python<=3.11"
conda activate dp4imaging

# Clone the repository and install the package in editable mode.
git clone https://github.com/slimgroup/dp4imaging
cd dp4imaging/
pip install -e .

After the above steps, you can run the example scripts by just activating the environment, i.e., conda activate dp4imaging, the following times.

Example

To run the Parihaka example, execute the following.

python scripts/run_imaging.py

Questions

Please contact alisk@gatech.edu for questions.

Author

Ali Siahkoohi

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Code to partially reproduce results in "Deep Bayesian inference for seismic imaging with tasks", Geophysics 2022

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