Code Monkey home page Code Monkey logo

seismic-simulation-complex-media's Introduction

Hi there 👋

I am a Postdoctoral Fellow at the ETH Zürich AI Center and member of the ETH Zürich Computational and Applied Mathematics Lab. My research focuses on developing scientific machine learning algorithms that can scale to solve real-world problems. Check out my website / blog and LinkedIn profile for more. I was also a ML Team Lead for NASA's Frontier Development Lab.

I'm open to collaboration on projects involving scientific machine learning / physics-informed machine learning. Check out my FBPINNs repository for our latest work on scalable physics-informed neural networks.

seismic-simulation-complex-media's People

Contributors

benmoseley avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

seismic-simulation-complex-media's Issues

help

Hello, may I ask why the response of the receiver trained with your wavnet code is always a straight line? The hyperparameters are the same as those you designed. Loss does not decrease around 0.03-0.07

Help Needed: InvalidArgumentError When Reading Binary Data for SeismicWaveNet Training

Dear Prof. Moseley,

I would like to express my gratitude for your contributions to the seismic data processing and WaveNet model training. Your work has been incredibly inspiring for me in the field.

I've encountered an issue while trying to run the main.py script in the seismic-simulation-complex-media/wavenet directory to train the SeismicWaveNet model. The script encounters a tensorflow.python.framework.errors_impl.InvalidArgumentError when attempting to read data from the generated binary file ../generate_data/20240412/data/layers_2ms.bin. The error message indicates that the file size (680,400,000 bytes) is not an exact multiple of the expected record length (25,032 bytes).

I have verified the calculation of the record length as defined in the SeismicDataset class within datasets.py, but am still unable to resolve this issue. Here is the specific error message I am encountering:

tensorflow.python.framework.errors_impl.InvalidArgumentError: Excluding the header (0 bytes) and footer (0 bytes), input file "../generate_data/20240412/data/layers_2ms.bin" has body length 680400000 bytes, which is not an exact multiple of the record length (25032 bytes).

[[node SeismicDataset/IteratorGetNext_2 (defined at /root/autodl-tmp/seismic-simulation-complex-media/wavenet/datasets.py:73) ]]**

Could you possibly offer any advice or solutions to address this problem? I would greatly appreciate any help or guidance you can provide.

Thank you once again for your contributions and assistance.

Best regards

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.