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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

arma

使用代码前请先阅读readme.txt

baer_fault_diagnosis

Bearing fault diagnosis model based on MCNN-LSTM

bearing-fault-detection

轴承故障检测 训练赛第30名代码

bearing-fault-diagnosis

domain adaption with LSGAN for bearing fault diagnosis

bearing_rul_predict

convnext

A deep learning code base, mainly for paper replication, in the areas of image recognition, object detection, image segmentation, self-supervision, etc. Each project can be run independently, and there are corresponding articles to explain.

deep-learning-resource

深度学习与TensorFlow实践配套资源

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

degradationmodel

early-stopping-pytorch

Early stopping for PyTorch

ecg_vit

1D vision transformer (vit) for ecg interpretable classification

emd_toolboxs

解压压缩包，安装方法请阅读文件“使用方法.docx”

keras_bearing_fault_diagnosis

machine-learning-algorithm

Python code for machine learning algorithm

matlab-machine

哔哩哔哩视频代码

myemd

mynet

使用python从零开始写一个两层神经网络，该程序的讲解地址在：https://zhuanlan.zhihu.com/p/67682601/edit

nn-svg

Publication-ready NN-architecture schematics.

phm-ieee-2012-data-challenge-dataset

Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute

phm-rul-prediction-by-em

Remain useful life prediction of rolling bearing.

plotneuralnet

Latex code for making neural networks diagrams

projectrul

to prediction the remain useful life of bearing based on 2012 PHM data

python-machine-learning-third-edition

rolling-bearing-fault-diagnosis-use-wavelet-and-cnn

对轴承数据进行小波包变换提取其中的能量谱特征共256维。将其转化为16*16的矩阵输入进CNN进行故障诊断分类

rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

rulbearingpredictor

similarityrul

基于相似性的剩余寿命预测

stacked-dcnn-rul-phm21

Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.

stevewang0821

Config files for my GitHub profile.