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niapy

Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org

mealpy

A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

niaaml

A Python AutoML framework that automatically composes and optimizes machine-learning pipelines using nature-inspired algorithms.

sklearn-nature-inspired-algorithms

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

evopreprocess

Data Preprocessing with Evolutionary and Nature Inspired Algorithms.

intelelm

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

graforvfl

GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network

metasklearn

MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.

hyponic

HypONIC is a hyperparameter optimization library that uses various nature inspired computing algorithms to optimize the hyperparameters of machine learning models. The library provides a simple interface for sklearn and keras models.

pyrade

PyRADE is a production-ready optimization library implementing Differential Evolution (DE), a powerful evolutionary algorithm for global optimization. Unlike traditional implementations that sacrifice code quality for performance, PyRADE proves you can have both through intelligent design.

evorbf

EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks

nia

Nature Inspired Optimization Algorithms

beeoptimal

A Python implementation of the Artificial Bee Colony (ABC) optimization algorithm

reflame

reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization

cathodedataextractor

A document-level information extraction pipeline for layered cathode materials for sodium-ion batteries.