mealpy

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

X-ANFIS: An Extensible and Cross-Learning ANFIS Framework for Machine Learning Tasks

MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems

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

Meta-Heuristic Algorithm for Travelling Salesman Problem

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

Hyper-parameter tuning of Time series forecasting models with Mealpy

The code and dataset used in the published paper: Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM

Hyper-parameter tuning of classification model with Mealpy

Text classification with Machine Learning and Mealpy

Proposing a novel approach on using Naives Bayes by using Robust Kernel Density Estimation (RKDE) and optimising the bandwith(h) with Harris Hawks Optimization (HHO)

Solutions for Labs of Nature Inspired Computing course offered at Innopolis University