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
Implementation of the paper "An Efficient (Large-scale) Semi-supervised Multi-label Classifier Capable of Handling Missing Labels".
Local Receptive Fields based Fuzzy Extreme Learning Machine
谷歌访问助手破解版
:notebook_with_decorative_cover: An Unofficial Thesis Template in LaTeX for Huazhong University of Science and Technology
An awesome LaTeX template for NSFC proposal.
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
All templates about LaTex
中文LaTeX作业模板
Examples for the usage of LaTeX
Implementation of Meta-Learning with Latent Embedding Optimization
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.
《机器学习实战》的python3源码
Model-Agnostic Meta-Learning in PyTorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Reproduce MAML in Pytorch with omniglot dataset.
Pure matlab implementation of L-BFGS
Matlab Signals and Systems
A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes
MATLAB wrapper for Efficient Inference in Fully Connected CRF
Meta Learning for LSTM
multi-instance multi -label active learning
Mutual Information functions for C and MATLAB
multi-label
Creating a MATLAB GUI for classification with Extreme Learning Machine
Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction