A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
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A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org
Sample Code Collection of Nature-Inspired Computational Methods
A Python AutoML framework that automatically composes and optimizes machine-learning pipelines using nature-inspired algorithms.
A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
The repository containing more advanced examples of usage of NiaPy micro-framework.
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
Meta-Heuristic Algorithm for Travelling Salesman Problem
(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
Code for: Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner -- [IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB 24)]
A document-level information extraction pipeline for layered cathode materials for sodium-ion batteries.
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.
Nature Inspired Optimization Algorithms
Bio-Inspired Fossil Image Segmentation for Paleontology
A Python Toolkit for Data Preprocessing with Evolutionary and Nature-Inspired Algorithms.
int-246-project-Twinkle0799 created by GitHub Classroom
A study on swarm intelligence optimizing neural networks for workload elasticity prediction
Firefly inspired IDS for Nature-Inspired Cyber Security
stigLD is a Linked Data framework for declaratively designing and implementing stigmergic hypermedia multi-agent systems.
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