Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease with no cure and a short life expectancy.

Use of Deep learning to predict ALS disease progression.

The results obtained show some promising insights.

Usage of Python, Pytorch, Numpy and Pandas.

Creation of a Convolutional Neural Network, in conjunction with image preprocessing.

Eliminating noise from the dataset and exacerbating pathology features.

Distinguish between whether or not you have ocular pathology - Binary Classification.

Distinguish by the different types of existing pathology, on a scale of 0 to 4.

Genetic Algorithm to create several evolutionary Neural Networks.

Consists on the use of Natural Selection.

Fittest individuals are used to create a new generation.

You can check a demonstration of the final version here.

Creation of a traffic simulation of a city through the use of several agents.

created a mechanism of two types of agents, Cars and Traffic Lights.

Through the use of Python and Pygame.

You can check a demonstration of the final version here.

Classification of Pokemon Types based on the images.

Image preprocessing for better results.

Use of CNN models for training.

Through the use of Python and Pytorch.

Algorithm able to aggregate and extract the specified resources as fast as possible, through parallelization.

A set of data is provided in the context of detecting financial fraud.

To solve this, we can make use of the GPU or the CPU.

The solution presented makes use of the CPU.