muwer6

keras_multiple_target_recognition

keras_multi_target_signal_recognition Underwater single channel acoustic multiple targets recognition using ResNet, DenseNet, and Complex-Valued convolutional nerual networks. keras-gpu 2.2.4 with tensorflow-gpu 1.12.0 backend.

ShipsEar-An-Unofficial-Train-Test-Split

An unofficial train-test split for ShipsEar: An underwater vessel noise database

USC

In this repository, we present two new deep learning architectures based on spatio-temporal modeling for underwater signal classification.

underwater_snd

Official implementation of the paper "An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic Data"

ShipsEar

AudioClassification-Pytorch

The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.

Method-for-Splitting-the-DeepShip-Dataset

Method for Splitting the DeepShip Dataset

100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。