alisa668899 Goto Github PK
Name: Holly668899
Type: User
Name: Holly668899
Type: User
https://arxiv.org/pdf/2202.02980
[ISA Transactions] A balanced and weighted alignment network for partial transfer fault diagnosis
Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
MD,LSTM-AE,VAE-MAD-GAN
The first LVLM based IAD method!
The code of ATA-SN method
A curated list of awesome anomaly detection resources
Awesome things about domain generalization, including papers, code, etc.
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Bearing fault diagnosis model based on MCNN-LSTM
Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics
CLAE: Representation Learning with Class Level Autoencoder
Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis"
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
Deep discriminative transfer learning network for cross-machine fault diagnosis
code for DFAWnet
Source codes for the paper "Towards Out-of-the-box Deep Fault Diagnosis Model via Domain Generalization: A Task-type-driven Review, Summary & Extension" published in IEEE TIM
This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis.
This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis
Supercharging Imbalanced Data Learning WithCausal Representation Transfer
EfficientViT is a new family of vision models for efficient high-resolution vision.
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.