https://github.com/lukasmosser/roeth_tarantola_blog_series

Reproducing Roeth and Tarantola using Modern Tools - Blog Series
https://github.com/lukasmosser/roeth_tarantola_blog_series

blog generative-model geophysics inversion neural-networks pytorch

Last synced: 28 days ago
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Reproducing Roeth and Tarantola using Modern Tools - Blog Series

• Host: GitHub
• URL: https://github.com/lukasmosser/roeth_tarantola_blog_series
• Owner: LukasMosser
• License: mit
• Created: 2018-12-31T13:41:49.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2022-06-21T21:41:31.000Z (over 2 years ago)
• Last Synced: 2023-08-08T22:57:55.849Z (over 1 year ago)
• Topics: blog, generative-model, geophysics, inversion, neural-networks, pytorch
• Language: Jupyter Notebook
• Size: 12 MB
• Stars: 6
• Watchers: 3
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Reproducing Roeth and Tarantola using Modern Tools - Blog Series

This repository holds the code used to build the blog series around

the seminal work of Roeth and Tarantola 1994.

The blog is hosted on my [website](https://lukasmosser.github.io).

The first part of the series covers the creation of a generative model 

using Pytorch distributions to create layered earth models.

## Planned Blog Posts

- Part 1: [Layered Earth Generative Modeling with Pytorch](https://github.com/LukasMosser/roeth_tarantola_blog_series/blob/master/Roeth%20and%20Tarantola%20Reloaded%20-%20Part%201-Data%20Generation.ipynb)

- Part 2: [Synthetic Waveform Modelling using Devito](https://github.com/LukasMosser/roeth_tarantola_blog_series/blob/master/Roeth%20and%20Tarantola%20Reloaded%20-%20Part%202-Seismic%20Forward%20Modeling.ipynb)

- Part 3: [Training Neural Networks to perform inversion using Pytorch](https://github.com/LukasMosser/roeth_tarantola_blog_series/blob/master/Roeth%20and%20Tarantola%20Reloaded%20-%20Part%203-Neural%20Networks%20for%20Seismic%20Inversion%20-%20SNIST%20Benchmark.ipynb)

- Part 4: Roeth, Tarantola and beyond...

Stay tuned!