RuixiangHu

SQdataset

SQ dataset for fault diagnosis pulished by Xi'an jiaotong University

scalogramify

Applies continuous wavelet transform (CWT) and visualization to time series data

CNN-LSTM-Attention

CNN+LSTM+Attention predict stock

cxl

Wavelet Transform based Seq2Seq Model for Time Series Forecasting

mWDN-RCF

Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis

DeepLearning_Wavelet-LSTM

LSTM + Wavelet（长短期记忆神经网络+小波分析）：深度学习与数字信号处理的结合

shijie_bishe

Long-term prediction, including wavelet decomposition and single step prediction with LSTM

MultiWave

The code for "MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction"

AnomalyDetection.MWDN

Anomaly Detection for time-series using Multilevel Wavelet Decomposition Networks.

Multilevel_Wavelet_Decomposition_Network_Pytorch

This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.

3D-Wavelet-Decomposition-on-3D-MRI-Images-for-feature-extraction

Wavelet-based-Graph-Attention-Network-for-Feature-Extraction

Wavelet based Graph Attention Network for Feature Extraction

ECG_QRS_Wavelet_Feature_Extraction

qnn-qhw

Hybrid Quantum-Classical Neural Network using Haar Wavelet for Feature Extraction

Respiratory-Sound-Classification-using-Wavelet-Denoising-and-Deep-Learning-

Leveraged wavelet denoising and deep learning techniques for the classification of respiratory sounds. - Implemented signal processing techniques and wavelet denoising for audio data cleanup and feature extraction. - Developed and trained a deep learning model (Conv1D, Bi-LSTM, CNN, RNN) for phase identification

Keystone

Study on Epileptic EEG Signal Based on Multi-level Feature Extraction and SVM Classification

Seizure_FE

Feature extraction for EEG signals

Signal-feature-extraction_DE-and-PSD

Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.

Optical-fiber-based-intrusion-detection

Optical fiber based Physical intrusion detection using machine learning

Stable_Linear_Model_Learning

The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"

NICO-plus

The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".

StableNet

Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".

DogsVsCats

Kaggle竞赛题猫狗大战 ，用于PyTorch入门

dogsVScats

图像二分类问题 猫狗大战 pytorch CNN

cats-vs-dogs

TensorFlow实现Kaggle猫狗大战

four_flower

使用tensorflow和cnn做的图像识别，对四种花进行了分类。

convolutional-neural-network-image_recognition_case_study

Computer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. (Includes: Data, Case Study Paper, Code)

Image-Recognition-Cat-vs-Dog

Image recognition system to classify dogs and cats using Convolutional Neural Network(CNN).

Image-Recognition-Classifier-using-CNN-Keras-and-Tensorflow-

a simple image recognition tool that classifies whether the image is of a dog or a cat. The idea is to create a simple Cars/Bikes Image classifier and then applying the concepts on a bigger scale.