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The adaptively parametric ReLU is an activation function that performs non-identically for input samples.
Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.
Bearing fault diagnosis model based on MCNN-LSTM
Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearing vibrations recorded at different frequencies. Developed an algorithm to convert vibrational data into Symmetrized Dot Pattern images based on a Research paper. Created an Image dataset of 50 different parameters
Capsule network for fault diagnosis (胶囊网络用于故障诊断)
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
The deep residual shrinkage network is a variant of deep residual networks.
code for DFAWnet
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of Rolling Bearings pytorch
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
The intelligent fault diagnosis of HNU IDG
一种轻量化故障诊断框架——LiConvFormer
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
This is a repository of code and experiment data for paper <A probability confidence CNN model and its application in mechanical fault diagnosis>
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
PyWavelets - Wavelet Transforms in Python
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis
this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Fault Diagnosis".
Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network
标注自己的数据集,训练、评估、测试、部署自己的人工智能算法
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.