JesperDramsch / Complex-CNN-SeismicLinks
Code accompanying the paper "Complex-valued neural networks for machine learning on non-stationary physical data".
☆30Updated 4 years ago
Alternatives and similar repositories for Complex-CNN-Seismic
Users that are interested in Complex-CNN-Seismic are comparing it to the libraries listed below
Sorting:
- This is a very simple denoising code for seismic data. It contains two different basic thresholding functions and works in continuous wav…☆20Updated 6 years ago
- Code to reproduce "Separation and denoising of seismically-induced signals with dual-path recurrent neural network architecture" paper 20…☆32Updated 3 years ago
- DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks☆218Updated 3 months ago
- Keras-Tensorflow implementation of complex-valued convolutional neural networks☆130Updated 7 months ago
- Cluster Analysis of Trimmed Spectrograms: framework for detection and denoising of sparse signals in time-frequency domain.☆11Updated this week
- Tools to denoise the seismic signal☆27Updated last year
- Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders☆75Updated 3 years ago
- Synchrosqueezing Generalized Phase-shifting S-Transform☆19Updated last year
- Interpolation of seismic data through Deep Priors☆35Updated last year
- This repository contains MATLAB scripts and sample data for applying denoising method presented in: "Automatic noise-removal/signal-remov…☆13Updated 6 years ago
- A Matlab package for the damped rank reduction method and its variants.☆14Updated 3 months ago
- A Matlab package for the damped rank reduction method and its variants.☆21Updated 3 months ago
- A convolutional autoencoder based deep embedded clustering implementation for seismic noise analysis.☆14Updated 3 years ago
- 基于UNet、PatchGan网络的地震叠加数据去噪方法-tensorflow、Pytorch实现☆20Updated 3 years ago
- Code repository for paper "DAS-N2N: Machine learning Distributed Acoustic Sensing (DAS) signal denoising without clean data" (https://arx…☆31Updated 5 months ago
- Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data …☆46Updated 4 years ago
- Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training☆18Updated 3 years ago
- Fast and efficient beamforming in Python - educational notebooks☆43Updated 8 months ago
- This project is for the paper, TEM-NLnet: A Deep Denoising Network for Transient Electromagnetic Signal with Noise Learning☆27Updated 3 years ago
- A ML tool to decompose seismic data into earthquake and ambient noise signals.☆10Updated 3 years ago
- Repository for the paper "Adapting the residual dense network for seismic data denoising and upscaling"☆14Updated last year
- Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interp…☆41Updated 2 years ago
- Noise-level estimation using minima controlled recursive averaging approach and denoising using Stein's unbiased risk estimates in STFT d…☆26Updated 5 years ago
- This repository contains MATLAB scripts and sample seismic data for appying seismid denoising proposed in: "Hybrid Seismic Denoising Usin…☆42Updated 3 years ago
- Deep Denoising Autoencoder for Seismic Random Noise Attenuation☆30Updated 3 years ago
- Codes and data for the paper: M. Alfarraj and G. AlRegib, "Semi-Supervised Learning for Acoustic Impedance Inversion," in Expanded Abstra…☆18Updated 4 years ago
- Package of robust GPR inversion using Huber norm and source separation☆12Updated 2 years ago
- This repo contains a PyTorch implementation with DeepWave for the manuscript FWIGAN: Full-waveform inversion via a physics-informed gener…☆51Updated 2 years ago
- An application of generative adversarial networks to seismic data processing (resolution ehancement and denoising).☆54Updated last year
- Using convolutional autoencoders to remove random noise from seismic data.☆17Updated 4 years ago