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Name: Yugen Yi
Type: User
Name: Yugen Yi
Type: User
The code of SMVSC
Pytorch implementation of retinal vessel segmentation using 3AUNet
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Time-Series Forecasting: COVID-19 Trend and Analysis
A list of accepted papers in AAAI 2021 about anomaly detection.
PyTorch implementation of the paper "Semi-Supervised Acoustic Anomaly Detection via Contrastive Learning"
Adaptive Active Anomaly Detection with Limited Query Data over Network Traffic Data Stream
Keras Implementation of Aspect based Sentiment Analysis
Active Learning Workshop Materials
Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"
source code of my paper "Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization"
We proposes an Attention-Encoded LSTM, which is Multi Head Self Attention based so that it will eschews the relationship between context and target.
Code for paper "Autoencoder Inspired Unsupervised Feature Selection"
Repository of various AI models - LSTM, CNN, AutoEncoders, GAN and Reinforcement Learning
主动学习(Active Learning)框架,实现了多个主动学习策略,包括:熵(Entropy)、最大梯度改变(ECG)等。
Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
Detect Anomaly in UCSD dataset with CNN Autoencoders and 2-layered LSTMs
A thesis submitted for the degree of Master of Science in Computer Networks and Security
Anomaly detection related books, papers, videos, and toolboxes
This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
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.