Slimk98

Few-shot-Fault-Diagnosis-MAML

Implementation of the MAML framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnosis problem.

Few-shot-Learning-for-Fault-Diagnosis

This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.

M2L

This repository is the code of paper "Multi-level Metric Learning for Few-shot Image Recognition".(ICANN-2022))

MAML-for-Mechanical-Fault-Diagnosis

Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)

MetaFD

The source codes of Meta-learning for few-shot cross-domain fault diagnosis.

MLDSO

Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published in MST

MolTrans

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

SSMN

The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.

C-BigHomework

MyProject

从本地上传的仓库

Slimk98/Few-shot-Fault-Diagnosis-MAML

Implementation of the MAML framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnosis problem.

Slimk98/MetaFD

The source codes of Meta-learning for few-shot cross-domain fault diagnosis.

Slimk98/MAML-for-Mechanical-Fault-Diagnosis

Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)

Slimk98/M2L

This repository is the code of paper "Multi-level Metric Learning for Few-shot Image Recognition".(ICANN-2022))

Slimk98/MLDSO

Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published in MST

Slimk98/MolTrans

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

Slimk98/Few-shot-Learning-for-Fault-Diagnosis

This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.

Slimk98/SSMN

The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.