My interested fields including Artificial Intelligence || Machine Learning || Deep Learning || Optimization || Metaheuristics || Nature-inspired Computing || Fullstack Web Technologies || Nature Language Processing || Transfer Learning|| ...

• 👨‍💻 All of my projects are available 👉here
• ✏️ Google Scholar profile:here
• ⚒️ My AIIR team:coding store andweb
• 📫 Looking for collaboration, contact menguyenthieu2102@gmail.com

I'm also an active open-source developer. Check out some of my open-source projects:

Machine Learning - Library	Downloads		Optimization - Library	Downloads
PerMetrics			Mealpy
MetaCluster			Opfunu
IntelELM			pfevaluator
MetaPerceptron			mafese
deforce			ENOPPY
reflame			MetaSklearn
GrafoRVFL			MetaMoo
EvoRBF
X-ANFIS
ProbNet
UniLVQ
PyLWL
WaveletML
IMAINET
MetaKan

Note: Top languages is only a metric of the languages my public code consists of and doesn't reflect experience or skill level.

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1. mealpymealpyPublic

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

   Python 1k 206

2. mafesemafesePublic

   Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

   Python 77 24

3. opfunuopfunuPublic

   A collection of Benchmark functions for numerical optimization problems

   Python 153 40

4. permetricspermetricsPublic

   Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

   Python 75 18

5. IntelELMIntelELMPublic

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

   Jupyter Notebook 16 4

6. pfevaluatorpfevaluatorPublic

   pfevaluator: A library for evaluating performance metrics of Pareto fronts in multiple/many objective optimization problems

   Python 34 9