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yusongking's Projects

differential-evolution icon differential-evolution

Single header c++ implementation of Differential Evolution algorithm for general purpose optimization.

differential-evolution-1 icon differential-evolution-1

A multi-processing, highly configurable, C++ Differential Evolution optimization algorithm implementation

differentialevolution icon differentialevolution

An implementation of the famous Differential Evolution Computational Intelligence algorithm formulated by Storn and Price. This algorithm uses the Otsu criterion as the fitness function and can be used to threshold grayscale images using multiple thresholds.

eaopt icon eaopt

:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

evofuzzy icon evofuzzy

A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

gear icon gear

Source code for ACL 2019 paper "GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification"

geatpy icon geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

gnnpapers icon gnnpapers

Must-read papers on graph neural network (GNN)

kecg icon kecg

Source code and datasets for EMNLP 2019 paper "Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model".

lrndis icon lrndis

stm32 ethernet over usb (rndis + lwip)

lte-stm32-usart_io icon lte-stm32-usart_io

配合机控器通过USART接口控制LED,输出音量以及反馈按键信息

machine-learning-in-r icon machine-learning-in-r

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

machine-learning-models icon machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

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