Jerry's starred repositories
Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
GAN_guided_seismic
Repository with data and codes
SeismicFoundationModel
Seismic Foundation Model
4dssmtzimaging
4dssmtzimaging is an open-source package for 3D and 4D mantle transition zone imaging. The methodology is detailed in Oboué, Y.A.S.I, Y. Chen, J. Wang, X. Jiang, R.M.H. Dokht, Y. J. Gu, M. Koroni, and Y. Chen, 2023, High-resolution mantle transition zone imaging using multi-dimensional reconstruction of SS precursors, JGR, under review.
self-supervised-3-DPCNN
Self-Supervised Multitask 3-D Partial Convolutional Neural Network for Random Noise Attenuation and Reconstruction in 3-D Seismic Data
reproducible-image-denoising-state-of-the-art
Collection of popular and reproducible image denoising works.
SEG_3D_SPWW_2015
SEG 3D Seismic Processing Working Workshop Houston 2015- Land 3D
Devito-Examples
Set of seismic modeling and inversion examples using Devito for different wave equations.
Reproducible-Deep-Compressive-Sensing
Collection of reproducible deep learning for compressive sensing
deep_prior_interpolation
Interpolation of seismic data through Deep Priors
DeepDenoiser
DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks
WaveDecompNet-paper
Tools to denoise the seismic signal
Deep-Denoising-Autoencoder-for-Seismic-Random-Noise-Attenuation
Deep Denoising Autoencoder for Seismic Random Noise Attenuation
PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
SeismicLab
Matlab research tools to read, write and process seismic data