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followers: 8.0 following: 11.0 repos: 98.0 gists: 0.0

Name: Chen Zhao

Type: User

Company: College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University

Bio: Associate Professor, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University

Location: Fuzhou, Fujian, China

Chen Zhao's Projects

esmc_implementation icon esmc_implementation

Implementation of the paper "An Efficient (Large-scale) Semi-supervised Multi-label Classifier Capable of Handling Missing Labels".

felmlrf icon felmlrf

Local Receptive Fields based Fuzzy Extreme Learning Machine

hustthesis icon hustthesis

:notebook_with_decorative_cover: An Unofficial Thesis Template in LaTeX for Huazhong University of Science and Technology

insfc icon insfc

An awesome LaTeX template for NSFC proposal.

kpca-matlab icon kpca-matlab

MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).

leo icon leo

Implementation of Meta-Learning with Latent Embedding Optimization

load-forecasting-algorithms icon load-forecasting-algorithms

使用多种算法(线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM)进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vector machine, BP neural network, GRU, LSTM) are used for power system load forecasting / power forecasting.

maml icon maml

Model-Agnostic Meta-Learning in PyTorch

maml-pytorch icon maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

maxent_semisupervised icon maxent_semisupervised

A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes

mimlal-r icon mimlal-r

multi-instance multi -label active learning

mitoolbox icon mitoolbox

Mutual Information functions for C and MATLAB

msc-project icon msc-project

Creating a MATLAB GUI for classification with Extreme Learning Machine

mt-bnn-dts icon mt-bnn-dts

Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction

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