haoruihu465

IRDDDA

Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant Working Conditions

Separate_to_Adapt

Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)

openset-DA

Code for 'Open Set Domain Adaptation by Backpropagation'

open-set-da

Open set domain adaptation

UODTN

Codes for UODTN; Open domain recognition; CVPR19

MG-GAN

Code for our paper "MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction" published at ICCV 2021.

meta-ood

libsvm-openset

TransferLearningNovelty

OP_Match

OpenGAN

ICCV2021 - training a post-hoc lightweight GAN-discriminator for open-set recognition

OSAA

Implementation of manuscript 'Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis'

WADA

The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.

autolabel

SROSDA

implementation of the ICCV work "SR-OSDA"

DANN

pytorch implementation of Domain-Adversarial Training of Neural Networks

DAMC

Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation

DAGCN

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

DL-based-Intelligent-Diagnosis-Benchmark

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

HUSTgearbox-dataset

This reposotory release a gearbox failure dataset, which can support intelliegnt fault diagnosis research（实验室自采齿轮箱开源数据集，包含稳定转速和时变转速）

HUSTbearing-dataset

This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research（实验室自采轴承开源数据集，包含稳定转速和时变转速）

DG-PHM

This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测，持续更新)

Domain-generalization-fault-diagnosis-benchmark

This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）

Mechanical_Fault_Diagnosis_Dataset

机械故障诊断公开数据集

Fault-diagnosis-based-on-industrial-big-data

这是我的毕业设计，本人本科机械，但是读直博到计算机，所以毕业设计双向都有涉及。权当是练手之作了，请勿见笑

PHMGNNBenchmark

this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

GCAN-Deep-Learning-Project

Unofficial Implementation of "Gcan: Graph convolutional adversarial network for unsupervised domain adaptation." for a Deep Learning project (University project)

AFN

(ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

HSIC

Hilbert-Schmidt Independence Criterion

HSIC-bottleneck

The HSIC Bottleneck: Deep Learning without Back-Propagation