Pinned Repositories
bibot
bibot是一个自平衡自行车机器人，它采用了角动量平衡的原理，具有自动平衡的功能。
Convolutional-Attention-Neural-Network-for-Induction-Motors
Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors
das_veh
Automated and Continuous Near-surface characterization Using Vehicle-induced DAS signals
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
FATE
An Industrial Grade Federated Learning Framework
GAN-DCGAN-grayscaled
Use deep convolutional generative adversarial networks (DCGAN) to generate images in grayscale
ILoFGAN-for-fault-diagnosis
LightX3ECG
MACGAN-for-fault-diagnosis
MTL-DAS.PyTorch
The code and dataset for the paper: A Highly Efficient Synchronous Event Recognition and 2-D Localization with a Multi-task Learning Network in Distributed Optical-fiber Ground Listening Array
sunmin123456's Repositories
sunmin123456/MTL-DAS.PyTorch
The code and dataset for the paper: A Highly Efficient Synchronous Event Recognition and 2-D Localization with a Multi-task Learning Network in Distributed Optical-fiber Ground Listening Array
sunmin123456/Convolutional-Attention-Neural-Network-for-Induction-Motors
Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors
sunmin123456/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
sunmin123456/bibot
bibot是一个自平衡自行车机器人，它采用了角动量平衡的原理，具有自动平衡的功能。
sunmin123456/das_veh
Automated and Continuous Near-surface characterization Using Vehicle-induced DAS signals
sunmin123456/FATE
An Industrial Grade Federated Learning Framework
sunmin123456/GAN-DCGAN-grayscaled
Use deep convolutional generative adversarial networks (DCGAN) to generate images in grayscale
sunmin123456/ILoFGAN-for-fault-diagnosis
sunmin123456/LightX3ECG
sunmin123456/MACGAN-for-fault-diagnosis
sunmin123456/Phi-OTDR_dataset_and_codes
This dataset contains six types of events, including background noise, digging, knocking, shaking, watering and walking, with a total of 15,612 samples. We also publicize codes for two common baseline models, which are the SVM (support vector machine, 1D method) and CNN (convolutional neural network, 2D approach) models
sunmin123456/SpeechAlgorithms
Speech Algorithms
sunmin123456/sunmin123456
Config files for my GitHub profile.