Jerry990411

Jerry990411's Stars

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.5k2.5k01.7k

• chenyuntc/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》)

  Language:Jupyter Notebook12.2k2812183.7k

• TingsongYu/PyTorch_Tutorial

  《Pytorch模型训练实用教程》中配套代码

  Language:Python7.6k89281.7k

• wenbihan/reproducible-image-denoising-state-of-the-art

  Collection of popular and reproducible image denoising works.

  2.4k11710508

• ngcthuong/Reproducible-Deep-Compressive-Sensing

  Collection of reproducible deep learning for compressive sensing

  659383156

• zhao62/Deep-Residual-Shrinkage-Networks

  The deep residual shrinkage network is a variant of deep residual networks.

  Language:Python467516109

• lpj-github-io/MWCNNv2

  Multi-level Wavelet Convolutional Neural Networks

  Language:Python27441165

• AI4EPS/DeepDenoiser

  DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks

  Language:Python192101160

• msacchi/SeismicLab

  Matlab research tools to read, write and process seismic data

  Language:MATLAB782120

• shenghanlin/SeismicFoundationModel

  Seismic Foundation Model

  Language:Jupyter Notebook684916

• jinxixiang/FISTA-Net

  A model-based deep learning network for inverse problem in imaging

  Language:MATLAB600915

• TristanvanLeeuwen/SimpleFWI

  Simple Matlab code for testing optimization algorithms on seismic inverse problems.

  Language:MATLAB436233

• polimi-ispl/deep_prior_interpolation

  Interpolation of seismic data through Deep Priors

  Language:Jupyter Notebook352812

• omarmohamed15/Deep-Denoising-Autoencoder-for-Seismic-Random-Noise-Attenuation

  Deep Denoising Autoencoder for Seismic Random Noise Attenuation

  Language:Jupyter Notebook27107

• slimgroup/Devito-Examples

  Set of seismic modeling and inversion examples using Devito for different wave equations.

  Language:Jupyter Notebook26605

• yinjiuxun/WaveDecompNet-paper

  Tools to denoise the seismic signal

  Language:Jupyter Notebook24231

• javashs/SCRN

  Swin transformer for simultaneous denoising and interpolation of seismic data

  Language:Python13222

• caowei2020/self-supervised-3-DPCNN

  Self-Supervised Multitask 3-D Partial Convolutional Neural Network for Random Noise Attenuation and Reconstruction in 3-D Seismic Data

  Language:Python10202

• PAI-SEG/SEG_3D_SPWW_2015

  SEG 3D Seismic Processing Working Workshop Houston 2015- Land 3D

  Language:Python68

• Oboue/MATamf

  MATamf is a Matlab package for the advanced median filter (AMF) for improving the signal-to-noise ratio of seismological datasets.

  Language:MATLAB5301

• PAULGOYES/GAN_guided_seismic

  Repository with data and codes

  Language:Jupyter Notebook5100

• lijingwang/semi_supervised_seismic_interpretation

  Language:Python3100

• Oboue/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.

  Language:MATLAB1300