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Deep discriminative transfer learning network for cross-machine fault diagnosis
The implementation of Multiplication Convolutional Networks (MCN) in Pytorch.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A transfer learning fault diagnosis repository covering popular algorithms
This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
A code library and benchmark study on SOH estimation of lithium-ion battery
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of Rolling Bearings pytorch
Codes of "One-fault-shot learning for fault severity estimation of gears that addresses differences between simulation and experimental signals and transfer function effect"
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)
Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis
The implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.
智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）
Bearing fault diagnosis model based on MCNN-LSTM
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
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深度学习入门教程, 优秀文章, Deep Learning Tutorial
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
一种数字孪生辅助的高度不平衡故障诊断新框架