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Name: Yugen Yi
Type: User
Name: Yugen Yi
Type: User
The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples"
[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
code for paper Time-Frequency based Multi-Task Learning for Semi-Supervised Time Series Classification
Joint Learning of Vessel Segmentation and Artery/Vein Classification
SERR-U-Net: A improved U-Net Framework with a Saliency Mechanism for Retinal Vessel Segmentation. (Part code)
Remote Sensing Image Super-Resolution via Saliency-Guided Feedback GANs
[MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1.
Univariate simple LSTM based time-series model
Simple MATLAB toolbox for deep learning network: Version 1.0.3
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
A Steering-Matrix-Based Multiobjective Evolutionary Algorithm for High-Dimensional Feature Selection
Source codes for paper "Sparse Multiperiod Group Lasso for Bearing Multifault Diagnosis"
A novel model for multi-view clustering
Develop LSTM Autoencoder model, to detect anomaly in S&P 500 Index dataset.
work in Advanced Topics in Multimedia Analysis and Indexing
A MATLAB library for sparse representation problems
reproduce the clustering index (Liang S, Han D, Yang Y. Cluster validity index for irregular clustering results[J]. Applied Soft Computing, 2020, 95: 106583.)
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Codebase for the Paper "Deep Semi-supervised Learning (SSL) for Time Series Classification (TSC)" to appear at the ICMLA '21
Code for the paper entitled "Student-Teacher Feature Pyramid Matching for Anomaly Detection" (BMVC 2021)
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stock price prediction using Bidirectional LSTM and sentiment analysis
Stock Market Prediction Using Unsupervised Features
This code is for "Yupei Zhang, Yue Yun, Huan Dai, Jiaqi Cui, and Xuequn Shang. Graphs Regularized Robust Matrix Factorization and Its Application on Student Grade Prediction. Applied Science, 2020"
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.