Topic: "mealpy"
thieu1995/MHA-FS 📦
The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.
Language: Python - Size: 2.51 MB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 21 - Forks: 7

thieu1995/MetaCluster
MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems
Language: Python - Size: 3.14 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 4

thieu1995/MHA-TSP
Meta-Heuristic Algorithm for Travelling Salesman Problem
Language: Python - Size: 6.68 MB - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 4

thieu1995/EvoRBF
EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks
Language: Python - Size: 3.99 MB - Last synced at: 14 days ago - Pushed at: 5 months ago - Stars: 7 - Forks: 1

thieu1995/X-ANFIS
BIO-ANFIS: A Bio-inspired Optimization Framework for Improving ANFIS Networks
Language: Python - Size: 941 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 5 - Forks: 1

thieu1995/GrafoRVFL
GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network
Language: Python - Size: 113 KB - Last synced at: 14 days ago - Pushed at: 20 days ago - Stars: 5 - Forks: 0

thieu1995/mealpy-timeseries
Hyper-parameter tuning of Time series forecasting models with Mealpy
Language: Python - Size: 15.6 KB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

thieu1995/mealpy-text-classification
Text classification with Machine Learning and Mealpy
Language: Python - Size: 1.66 MB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

thieu1995/mealpy-classification
Hyper-parameter tuning of classification model with Mealpy
Language: Python - Size: 6.84 KB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

SafwanAlselwi/AAO-BiLSTM
The code and dataset used in the published paper: Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM
Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

biad-iritie/Naive_Bayes-with-RKDE_HHO
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)
Language: Python - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Jayveersinh-Raj/Nature_Inspired_Computing_Labs
Solutions for Labs of Nature Inspired Computing course offered at Innopolis University
Language: Jupyter Notebook - Size: 532 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
