PhD student at LIDIA · Universidade da Coruña
I work on machine learning, focusing on how AI can understand visual scenes and predict what happens next.
Personal website ↗ · Email · LinkedIn · X
PhD student at LIDIA · Universidade da Coruña
I work on machine learning, focusing on how AI can understand visual scenes and predict what happens next.
Personal website ↗ · Email · LinkedIn · X
Research code for my Final Degree Project (TFG) on perceptual latent representations for World Models, improved visual fidelity, latent dynamics, and autonomous control.
Jupyter Notebook 2
Modern PyTorch implementation of World Models with interactive notebooks for the Car Racing environment. Features VAE vision model, MDN-RNN memory system, and CMA-ES controller with visualization t…
Forecast future weather conditions by comparing multiple deep learning architectures (DNN, CNN+DNN, LSTM, GRU, and Attention LSTM) on the Jena Climate Dataset. This interactive notebook delivers da…
Jupyter Notebook 3
Text to image diffusion model from scratch with Tiny ImageNet dataset, Pytorch and Web interface for image generation.
Python 1
Train an AI agent to play Super Mario using Deep Q-Learning in an interactive, self-explanatory Jupyter Notebook. Explore environment preprocessing, a CNN-based model, and DQN training in real time.
Jupyter Notebook 1