SupVvi

CatGAN-bearing-faults

Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics

DL-based-Intelligent-Diagnosis-Benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

Domain-Generalization

A collection of awesome things about domain generalization, including papers, code, etc.

Federated-Transfer-Learning-for-EEG

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)

Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

MSDN

Official PyTorch Implementation of MSDN (CVPR'22)

UDTL

Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM

UDTL_Lable_Inconsistent

UDTL_multi_domain

Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))

wdcnn_bearning_fault_diagnosis

wdcnn轴承故障模型

SupVvi/Federated-Transfer-Learning-for-EEG

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)

SupVvi/Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

SupVvi/wdcnn_bearning_fault_diagnosis

wdcnn轴承故障模型

SupVvi/c-rnn-gan

Implementation of C-RNN-GAN.

SupVvi/DAGCN

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

SupVvi/DAPN

A pytorch implementation of "Domain-Adaptive Few-Shot Learning"

SupVvi/DCTLN-

https://ieeexplore.ieee.org/abstract/document/8511076

SupVvi/fault_detection

Fault detection on real flight data using machine learning

SupVvi/FDS

飞机故障诊断系统

SupVvi/Few-shot-Transfer-Learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

SupVvi/Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

SupVvi/Industrial_ZSL

SupVvi/LearningToCompare_FSL

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

SupVvi/LearningToCompare_ZSL

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

SupVvi/omniglot

Omniglot data set for one-shot learning

SupVvi/prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

SupVvi/pytorch-hdml

Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch

SupVvi/Rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

SupVvi/tf_unet

Generic U-Net Tensorflow implementation for image segmentation

SupVvi/tfvaegan

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

SupVvi/TransferIncrement_ZSL

SupVvi/UAV-Digital-Twin

ROS 2 packages that implement dynamic structural health monitoring for a UAV via structural digital twin, formulated using a probabilistic graphical model

SupVvi/wdcnn_bearning_fault_diagnosis-master

fault_diagnosis

SupVvi/zero-shot-classification

Zero shot classification using shared text and image embeddings in TensorFlow