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基于迁移学习的离心泵滚动轴承故障自动识别方法研究

-fault-diagnosis-with-sgan-experiment

a-new-convolutional-neural-network-based-data-driven-fault-diagnosis-method

TensorFlow implementation of a CNN based mechanical science paper

bearing-fault-diagnosis

domain adaption with LSGAN for bearing fault diagnosis

bearlstm

with LSTM method to solve bearing fault diagnosis classification

book-code

《Django开发从入门到实战》书籍各章节源代码

casewesternreserveuniversitydata

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

deep-k-means

densenet-pytorch

a simple application of densenet in pytorch

diagnosis_of_rotating_machinery

基于无监督和迁移学习的旋转机械故障诊断

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

fault-diagnosis

基于深度学习机械设备故障诊断模型

fault-diagnosis-of-roller-bearings

fault_diagnosis

基于深度学习的滚动轴承故障诊断方法

few-shot-transfer-learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-wavenet

hellodjango-blog-tutorial

免费带你学 django 全栈！基于 django 2.2 的个人博客，初学者绝对不能错过的 django 教程！｡◕ᴗ◕｡

learning-from-unlabeled-real-seismic-data-fault-detection-based-on-transfer-learning

matdata

mechanical-fault-diagnosis-based-on-deep-learning

CNN for mechanical fault diagnosis

ml_gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

model-based-transfer-for-bearing-diagnosis

oucml

pygcn

Graph Convolutional Networks in PyTorch

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms