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alfa-dataset-tools

Tools for working with ALFA datset

bearing-fault-diagnosis-based-on-deep-learning

基于深度学习的机械设备故障诊断方法研究

c-rnn-gan

Implementation of C-RNN-GAN.

catgan-bearing-faults

Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics

competition-baseline

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

condition-driven_process_monitoring

cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

da

Unsupervised Domain Adaptation Papers and Code

dagcn

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

dapn

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

darkreader

Dark Reader Chrome and Firefox extension

dctln-

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

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.

example-models

Example models for Stan

exponential_slow_feature_analysis

fault_detection

Fault detection on real flight data using machine learning

fault_diagnosis_machine_learning

lzd

fds

飞机故障诊断系统

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)

few-shot-fault-diagnosis

A few shot learning repository for bearing fault diagnosis.

few-shot-transfer-learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

google-research

Google Research

image_segmentation

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

industrial_zsl

learningtocompare_fsl

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

learningtocompare_zsl

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

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

meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

metafd

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