omarmohamed15 / Deep-Denoising-Autoencoder-for-Seismic-Random-Noise-Attenuation
Deep Denoising Autoencoder for Seismic Random Noise Attenuation
☆27Updated 3 years ago
Alternatives and similar repositories for Deep-Denoising-Autoencoder-for-Seismic-Random-Noise-Attenuation:
Users that are interested in Deep-Denoising-Autoencoder-for-Seismic-Random-Noise-Attenuation are comparing it to the libraries listed below
- Using convolutional autoencoders to remove random noise from seismic data.☆16Updated 3 years ago
- Interpolation of seismic data through Deep Priors☆34Updated last year
- Repository for the paper "Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising" (IEEE TGRS)☆72Updated 2 years ago
- A Python module to train and apply a denoising autoencoder to seismological data☆20Updated last year
- Seismic inversion☆19Updated 3 years ago
- Seismic data processing with ML and deep learning☆56Updated 5 years ago
- Repository for the paper "Adapting the residual dense network for seismic data denoising and upscaling"☆11Updated last year
- Matlab research tools to read, write and process seismic data☆81Updated last year
- Seismic Velocity Modeling using Deep Transfer Learning☆17Updated 4 years ago
- Pyseistr is a python package for structural denoising and interpolation of multi-channel seismic data.