kl4120
Follow
Lists (3)
Stars
A short course in geophysical digital signal processing
Instructor version of the GeoSMART curriculum book for ESS 469/569
Python package for numerical derivatives and partial differential equations in any number of dimensions.
A pytorch-based package for seismic invesrion with automatic differentiation.
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Normalizing flows in PyTorch. Current intended use is education not production.
DCT (discrete cosine transform) functions for pytorch
PyTorch library for solving imaging inverse problems using deep learning
Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems" (https://arxiv.org/abs/2…
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
Awesome resources on normalizing flows.
Deep universal probabilistic programming with Python and PyTorch
This repo contains a PyTorch implementation with DeepWave for the manuscript FWIGAN: Full-waveform inversion via a physics-informed generative adversarial network
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PyTorch implementation of normalizing flow models
Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink thresholding technique
PGNN-FWI: performing physics-guided neural network for FWI
Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)
Open-source Matlab package for 2D/3D local slope estimation and structural filtering
Pyseistr is a python package for structural denoising and interpolation of multi-channel seismic data.
Complex seismic data reconstruction and interpolation
Repo containing code to do the learnable scatternet/invariant convolutional layer