Popular GitHub Repositories for Deap

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.

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.

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

Emotion recognition from EEG data (Bachelor's thesis), using the DEAP dataset. Performed manual feature selection across three domains: time, frequency, and time-frequency. Used different classifiers, including XGBoost, AdaBoost, Random Forest, k-NN, SVM, etc.

Automatic ConvNet search using Genetic Algorithm

Make adversarial images of characters

This project implements functions for building an ensemble of classifiers and regressors using the TPOT and auto-sklearn libraries with the help of a genetic algorithm evolved using the deap library.

HPO for DNN and other ML algorithms