EQTransformer, a python package for earthquake signal detection and phase picking using AI.

A python implementation of Savitzky Golay filter based on the algorithm proposed by Gorry, 1991 for nonunformly distributed independent data.

Two-dimensional Savitzky-Golay filter

This is the Matlab code for the paper "Signal Denoising and Detection for Uplink in LoRa Networks based on Bayesian-optimized Deep Neural Networks" submitted in the IEEE Communications Letters.

A Deep Denoising Autoencoder for Time Dependent Signals

RaSPDAM - an efficient machine learning algorithm based on U-Net to detect radio single-pulse signals.

Peak detection for 1D signals

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

code and data used for creating a deep learning model (unet) for denoising free induction decay (FID) signals for magnetic resonance spectroscopy (MRS)

Code repository for paper "DAS-N2N: Machine learning Distributed Acoustic Sensing (DAS) signal denoising without clean data" (https://arxiv.org/abs/2304.08120)

Functions to denoise High Density EMG signals

Implementation in Python/Cython of the algorithm VMD_CVM for signal denoising

This is the official repository of the paper "DNCNet: Deep Radar Signal Denoising and Recognition" from IEEE Transactions on Aerospace and Electronic Systems (TAES).

This project is for the paper,A denoising stacked autoencoders for transient electromagnetic signal denoising

Repository for Scale-recurrent Network for Deep Image Deblurring

This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.(实验室自采多模态电机故障数据，振动信号+声音信号)

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

Restoration of defocused and blurred photos/images

Deep Multi-scale CNN for Dynamic Scene Deblurring

The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.

This is a phase retrieval approach for astronomical Shack-Hartmann wavefront sensor.

Convolutional neural network for improved event-based Shack-Hartmann wavefront reconstruction

基于深度学习和Shack-Hartmann波前传感器的波前重建仿真

Tools to denoise the seismic signal

This code is to separate teleseismic earthquake signals and noise signals.

基于UNet、PatchGan网络的地震叠加数据去噪方法-tensorflow、Pytorch实现

QuakeLabeler is a Python package to create and manage your seismic training data, processes, and visualization in a single place — so you can focus on building the next big thing.

SeisBench - A toolbox for machine learning in seismology