canghaiwuya Goto Github PK
Name: Chongqing University
Type: User
Bio: Research direction: Fault diagnosis
Name: Chongqing University
Type: User
Bio: Research direction: Fault diagnosis
Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]
Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)
Code for paper "Attentive Graph Neural Networks for Few-shot Learning"
Code for ARPM ("Adversarial Reweighting with α-Power Maximization: A Theoretically Motivated Approach for Partial Domain Adaptation")
域自适应图像分类
code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)
胶囊图神经网络
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021
code of paper "Cycle Self-Refinement for Multi-source Domain Adaptation"
Multivariate Time-Series Anomaly Detection with GNN.
Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.
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)
[CVPR2024] Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置
基于图神经网络的机械故障诊断
A implementation of Gramian Angular Field (GAF) in Pytorch.
This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research(实验室自采轴承开源数据集)
A novel cross-domain few-shot learning framework leveraging Domain Adaptation Transformer (DAT) and Graph Neural Network (GNN) for improved accuracy in adapting models from a source domain to a target domain, surpassing existing benchmarks on Office and CropDisease datasets.
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation(AAAI-2019)
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis
最大识别器差异度量算法
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)
MULTI HEAD SELF-ATTENTION BASED SPATIAL-TEMPORAL INFORMATION GRAPH CONVOLUTIONAL NETWORKS FOR TRAFFIC FLOW FORECASTING
Multi-source Manifold Feature Transfer
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
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.