Stars
A deep-dive on the entire history of deep-learning
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)
python tool to read and plot Geophysical Survey Systems Incorporated (GSSI) radar data
GUI front-end for gprMax 3 model building
gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)
Compound Multi-branch Feature Fusion for Real Image Restoration
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
2022 TGRS Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling. VI-non-IID can explicitly predict both the latent clean data and the pixelwise noise level map ($\bf{…
Implementation of Hudson (and evenutally Chapman) method for forward modelling seismic attenuation in a cracked solid.
Implementation of Hudson (and evenutally Chapman) method for forward modelling seismic attenuation in a cracked solid.
A python toolbox for generating seismic training samples, integrated with pytorch
Seismic data processing with ML and deep learning
bnmacsky / tutorials-2018
Forked from seg/tutorials-2018Geophysical Tutorials column for 2018
Matlab code of machine learning algorithms in book PRML