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321YY's Projects

pomegranate icon pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

pot icon pot

POT : Python Optimal Transport

prml icon prml

PRML algorithms implemented in Python

psogsa icon psogsa

FNN optimisation using PSOGSA algorithm

py icon py

Repository to store sample python programs for python learning

py-earth icon py-earth

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

pycaret icon pycaret

An open source, low-code machine learning library in Python

pyg2plot icon pyg2plot

🎨 Python3 binding for `@AntV/G2Plot` Plotting Library .

pygmt icon pygmt

A Python interface for the Generic Mapping Tools.

pygrnn icon pygrnn

Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also provided

pyharmonysearch icon pyharmonysearch

pyHarmonySearch is a pure Python implementation of the harmony search (HS) global optimization algorithm.

pylab icon pylab

和Python相关的学习笔记:机器学习、算法、进阶书籍、文档,博客地址:https://www.howie6879.cn

pymetaheuristic icon pymetaheuristic

A python library for: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Cuckoo Search, Differential Evolution, Dispersive Flies Optimization, Dragonfly Algorithm, Firefly Algorithm, Flow Direction Algorithm, Flower Pollination Algorithm, Genetic Algorithm, Grey Wolf Optimizer, Gravitational Search Algorithm, Harris Hawks Optimization, Improved Grey Wolf Optimizer, Improved Whale Optimization Algorithm, Jaya, Memetic Algorithm, Moth Flame Optimization, Multiverse Optimizer, Particle Swarm Optimization, Random Search, Salp Swarm Algorithm, Simulated Annealing, Sine Cosine Algorithm, Whale Optimization Algorithm

pymoo icon pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

pynsgp icon pynsgp

Multi-objective Genetic Programming by NSGA-II in Python

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