Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of sep…

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising w…

Audio Denoising with Deep Network Priors

Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

DCNet — Denoising (DNA) Sequence With a LSTM-RNN and PyTorch & Neural DBG

Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders

Tutorial on seismic signal/noise classification; from linear to deep classifiers

Code to reproduce "Separation and denoising of seismically-induced signals with dual-path recurrent neural network architecture" paper 2020

Tools to denoise the seismic signal

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

Speech Denoising WaveNet Architecture Implmentation in PyTorch

Convolutional Recurrent Neural Networks for Predicting Sea Ice Concentration in the Arctic

This repository consists DNN based filtering function of direct absorption spectroscopy signals.

EoR Signal Separation with a Convolutional Denoising Autoencoder (CDAE)

This repository includes code for the paper: Lithology Identification Based on One-dimensional Convolutional Neural Network and Recurrent Neural Network with Attention Mechanism.

Code repository for paper "Neural network multi-component gas mixture analysis with broadband dual-frequency comb absorption spectroscopy"

Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising"

We propose a novel deep learning framework DRSNet (deep residual shrinkage network) with an embedded soft-threshold denoising scheme for seismic signal denoising and seismic damage assessment.

A ML tool to decompose seismic data into earthquake and ambient noise signals.

Cluster Analysis of Trimmed Spectrograms: framework for detection and denoising of sparse signals in time-frequency domain.

RaMix generates synthetic Raman mixture spectra

This project focuses on denoising seismic data from the Apollo lunar mission and InSight Mars mission to isolate significant seismic signals from background noise. It enhances data clarity, aiding …

Using RNN and LSTM for 1D and 2D noisy signals, noisy voice, and noisy images denoising

This module is used to denoise audio file and evaluate it. The module include 2 methods by using spectral subtraction and FRCRN

This code tries to implement signal denoising of financial data using Fast Fourier Transform

MiniRocket and baselines(ResNet,VGG etc) for Seismic Signal Analysis

now in testing various model , LSTM-CNN , 3DCNN ,, ETC

Using CNN & RNN & GRU & LSTM & BiRNN & BiGRU & BiLSTM & Transformers for Emotions Sentimental Analysis

The Raman spectroscopy is a powerful technique to investigate the features of the matter. The SRS (stimulated Raman spectroscopy) is a nonlinear technique, alternative to conventional Raman, that c…