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BrunooCS/README.md
Bruno Corcuera

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

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  1. Perceptual-Latent-Representations-World-Model Perceptual-Latent-Representations-World-Model Public

    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

  2. World-Model-2018 World-Model-2018 Public

    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…

    Jupyter Notebook 21 7

  3. Weather-forecasting-with-Recurrent-Neural-Networks Weather-forecasting-with-Recurrent-Neural-Networks Public

    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

  4. Text-To-Image-Diffusion-Model Text-To-Image-Diffusion-Model Public

    Text to image diffusion model from scratch with Tiny ImageNet dataset, Pytorch and Web interface for image generation.

    Python 1

  5. AI-Super-Mario-DQL- AI-Super-Mario-DQL- Public

    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