supvvi Goto Github PK
Type: User
Type: User
Tools for working with ALFA datset
基于深度学习的机械设备故障诊断方法研究
Implementation of C-RNN-GAN.
Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
CVPR 2022 论文和开源项目合集
Unsupervised Domain Adaptation Papers and Code
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
A pytorch implementation of "Domain-Adaptive Few-Shot Learning"
Dark Reader Chrome and Firefox extension
https://ieeexplore.ieee.org/abstract/document/8511076
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
A collection of awesome things about domain generalization, including papers, code, etc.
Example models for Stan
Fault detection on real flight data using machine learning
lzd
飞机故障诊断系统
This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)
A few shot learning repository for bearing fault diagnosis.
Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
Google Research
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
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.