Feature Selection using Genetic Algorithm (DEAP Framework)

ML hyperparameters tuning and features selection, using evolutionary algorithms.

CNN architecture exploration using Genetic Algorithm

A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)

Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]

A project on improving Neural Networks performance by using Genetic Algorithms.

Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) + CatboostRegressor, private score 2.425 (31 place)

Ray based map function for Deap with examples. Automatically batches iterator to multiple workers for many processors or clusters.

PyTEAP: A Python implementation of Toolbox for Emotion Analysis using Physiological signals (TEAP).

Trefle is a scikit-learn compatible estimator implementing the FuzzyCoCo algorithm that uses a cooperative coevolution algorithm to find and build interpretable fuzzy systems.

A stochastic circuit optimizer for Cadence Virtuoso, using the NSGA-II genetic algorithm.

Genetic algorithm to solve modular exams scheduling problem written in Python.

Python Evolutionary Algorithm Visualisation toolkit on DEAP

[ICASSP 2022] EEG - Music Cross Modal Learning

Code for my Master's Thesis at the Institute of Medical Informatics, Universität zu Lübeck.

Evolutionary Composition uses genetic algorithms to create and enhance musical melodies.

Motif discovery for DNA sequences using multiobjective optimization and genetic programming.

Development of genetic algorithm using DEAP library