ML4Seismic open-source software: updates and developments
| Title | ML4Seismic open-source software: updates and developments |
| Publication Type | Presentation |
| Year of Publication | 2022 |
| Authors | Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Felix J. Herrmann |
| Keywords | ML4SEISMIC, open-source, SLIM, software |
| Abstract | Software is at the core of research and development in inverse problems. At SLIM, we have experience developing scalable and performant software, such as our legacy parallel MATLAB framework. With ML4Seismic, we are dedicated to build on this experience to develop HPC open source software (OSS) for the scientific community in collaboration with our partners. In this talk, we will describe our OSS Julia and Python environment, our high-level abstraction principles, and the range of solutions we offer for seismic processing and inversion and for machine learning. We will emphasize our aim to provide scalable software that can be easily applied to industrial problems. |
| URL | https://slim.gatech.edu/Publications/Public/Conferences/ML4SEISMIC/2022/louboutin2022ML4SEISMICmos/index.html |
| Citation Key | louboutin2022ML4SEISMICmos |