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ai-algorithm

用Python实现神经网络与遗传算法

ai-learning-roadmap

Ai Learning Roadmap based on lots of open course sources and book materials. 我总结的 AI 学习路径。

ann-optimization-using-genetic-algorithm

ardl

ARDL, ECM and Bounds-Test for Cointegration

attachment-downloader

Simple tool for downloading email attachments for all emails in a given folder using an IMAP client

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

cluster-analysis

K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan

constraint_nsga-ii_algorithms

这是一个带约束条件的非支配排序遗传算法NSGA-II，解决了一个多目标优化问题

download

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw

evolutionary-algorithm

Evolutionary Algorithm using Python

evolutionary_regex

使用遗传算法生成正则表达式对文本分类

freesky

自由门最新7.97版 无界21.32正式版 自由门VPN 自由门 自由门使用教程 无界 无界浏览 无界VPN 翻墙软件 翻墙软件下载 翻墙软件教程 Mac翻墙软件 --自由天空

fruit-images-dataset

Fruits-360: A dataset of images containing fruits and vegetables

fuzzycmeans

A fast implementation of fuzzy c-means clustering algorithm using numpy

geatpy

A high-performance GEA framework of Python. Welcome to star and fork.

genetic-algorithm-flexible-job-shop-scheduling-problem

Flexible job shop scheduling program based on genetic algorithm. 基于遗传算法的柔性车间调度问题方案模拟程序。

genetic-drawing

A genetic algorithm toy project for drawing

git

A fork of Git containing Windows-specific patches.

jmetal

jMetal: a framework for multi-objective optimization with metaheuristics

latex-template-cn

\LaTeX 中文模版收集。

lmdi

LMDI 数据分析

lmdi-analysis

能源、环境效益分析

logistics-management

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

nardl

nardl:An R package to estimate the nonlinear cointegrating autoregressive distributed lag model

neuralgenetic

Optimizing artificial neural network parameters using the genetic algorithm for the classification of the Fruits360 dataset. The implementation is from scratch using NumPy.

nsga-ii

The implementation of NSGA-II with Python

nsga-ii-1

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.

nsga-ii-2

多目标优化遗传算法，python实现&动态展示过程

nsga2

Implementation NSGA-II algorithm in form of python library