philmar1

megan-own

Project aiming to test new features in MEGAN

PIK3CA-mutation-prediction

graphs_in_ml_mva

Sentiment-Analysis-with-Naive-Bayes-and-RNN

Deep-Dreams-and-Adversarial-Examples

School lab, testing Deep Dreams and Adversarial Examples with CNN

Generating-Sebastian_Bach-Music-with-RNN

School lab, using many to many and one to many RNN

Q-Learning-for-Pacman

School project based on the UC Berkeley CS188 course

Signals-Convolution-with-GPU-and-CUDA

School project, using GPU programming to speed up convolutions

Metaheuristic-for-Maximisation-of-the-Covarage-of-Radars

GAIN

Generative Adversarial Imputation Networks (GAIN)