Name: Min Liu
Type: User
Company: School of Computer Science and Engineering, Hunan University of Science and Technology
Bio: I am with the School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 4111201, China
Location: Xiangtan, China
Min Liu's Projects
Library for Online Learning algorithms
《统计学习方法》的代码实现
⚡️⚡️⚡️《机器学习实战》代码(基于Python3)🚀
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
机器学习算法python实现
Source Code for Machine Learning in Action for Python 3.X
腾云阁高精度车辆追踪算法大赛。给定地图数据和汽车的gps定位数据,通过地图匹配算法得出汽车行驶过了哪些道路
Trajectory Inference
code for "community preserving network embedding based on memetic algorithm"
Test problems and source code for solving the Multiple Flying Sidekicks Traveling Salesman Problem (mFSTSP)
mit6.828 课程学习笔记和作业
MODPSO code for paper "Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition"
This project is for dealing with dynamic multiobjective optimization problems using a Multiobjective Evolutionary Algorithm.
A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.
多目标优化遗传算法,python实现&动态展示过程
The implementation of NSGA-II with Python
NSGA-Net, a Neural Architecture Search Algorithm
Python implementations of Machine Learning Algorithms for the Online Setting
PKU OS course project and notes based on Nachos and XV6
ops-class.org OS/161 sources.
A margin based online learning algorithm for binary classification.
Evolutionary multi-objective optimization platform
A Free and Open Source Python Library for Multiobjective Optimization
Probabilistic Modeling Toolkit for Matlab/Octave.
A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows
NSGA2, NSGA3, R-NSGA3, MOEAD, GA, DE,
Louvain Community Detection
The "Python Machine Learning (1st edition)" book code repository and info resource
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).