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Name: liumin-serendipity
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Name: liumin-serendipity
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Official repository of Agent Attention (ECCV2024)
BG-CNN: A Hybrid Fault Diagnosis Method for Improved Fault Isolation. This repository presents the BG-CNN method, a novel approach that combines the Bond-Graph technique with Convolutional Neural Networks (CNNs) for efficient fault isolation.
CEEMDAN-VMD-TCN-GRU&RF model
基于小波时频图与 Swin Transformer 的轴承故障诊断方法
The deep residual shrinkage network is a variant of deep residual networks.
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)
Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer
DPHGNN: A Dual Perspective Hypergraph Neural Networks [KDD'24 Paper]
The Gearbox Fault Diagnosis dataset consists of vibration data recorded using SpectraQuest’s Gearbox Fault Diagnostics Simulator. The dataset captures vibrations using four sensors placed in different directions, under varying loads from 0% to 90%.
Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of Rolling Bearings pytorch
https://github.com/justjavac/free-programming-books-zh_CN.git
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Hypergraph Neural Networks (AAAI 2019)
This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.(实验室自采多模态电机故障数据,振动信号+声音信号)
Python package for hypergraph analysis and visualization.
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
一种轻量化故障诊断框架——LiConvFormer
Config files for my GitHub profile.
Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.
Fault diagnosis of some critical and non-critical faults in electric drives using anomaly detection.
This repo is Pytorch implementation of Masked AutoEncoder Pretraining (MAE) for Mechanical Fault Diagnosis.
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
CNN and LSTM have been trained on CWRU Bearing Dataset and results tested on Simulink Data
Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis
A physics-informed neural network for battery SOH estimation
python语言实现
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.