RuixiangHu's Stars
waitingfordark/four_flower
使用tensorflow和cnn做的图像识别,对四种花进行了分类。
xxgege/StableNet
Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
hello-sea/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
gzshan/dogsVScats
图像二分类问题 猫狗大战 pytorch CNN
yakouyang/Multilevel_Wavelet_Decomposition_Network_Pytorch
This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
ziyujia/Signal-feature-extraction_DE-and-PSD
Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.
xbliuhnu/DogsVsCats
Kaggle竞赛题猫狗大战 ,用于PyTorch入门
xuetsing/cats-vs-dogs
TensorFlow实现Kaggle猫狗大战
koi-boy/CNN-LSTM-Attention
CNN+LSTM+Attention predict stock
xxgege/NICO-plus
The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
chenfei0328/mWDN-RCF
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
shubham-0704/Optical-fiber-based-intrusion-detection
Optical fiber based Physical intrusion detection using machine learning
yangsh827/Seizure_FE
Feature extraction for EEG signals
TatevKaren/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)
Silver-Shen/Stable_Linear_Model_Learning
The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"
Lvhaixin/SQdataset
SQ dataset for fault diagnosis pulished by Xi'an jiaotong University
Next-di-mension/qnn-qhw
Hybrid Quantum-Classical Neural Network using Haar Wavelet for Feature Extraction
Information-Fusion-Lab-Umass/MultiWave
The code for "MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction"
liuyox/AnomalyDetection.MWDN
Anomaly Detection for time-series using Multilevel Wavelet Decomposition Networks.
wechto/cxl
Wavelet Transform based Seq2Seq Model for Time Series Forecasting
parthkl021/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
TianheWu/Keystone
Study on Epileptic EEG Signal Based on Multi-level Feature Extraction and SVM Classification
fclefang/shijie_bishe
Long-term prediction, including wavelet decomposition and single step prediction with LSTM
furkanycy/ECG_QRS_Wavelet_Feature_Extraction
hanxiaoyun/Wavelet-based-Graph-Attention-Network-for-Feature-Extraction
Wavelet based Graph Attention Network for Feature Extraction
MohammedNayeem9/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.
mrldupuis/scalogramify
Applies continuous wavelet transform (CWT) and visualization to time series data
pranava1709/3D-Wavelet-Decomposition-on-3D-MRI-Images-for-feature-extraction
Stark2248/Image-Recognition-Cat-vs-Dog
Image recognition system to classify dogs and cats using Convolutional Neural Network(CNN).