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jmtzt/README.md

Hi, I'm João Marcelo!

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  • 🔭 I'm a Machine Learning Engineer based in Munich, with a Master's in Computer Science from the Technische Universität München (TUM).
  • 💬 I specialize in Deep Learning and I'm interested in Graph Neural Networks (GNNs), Natural Language Processing (NLP) and Computer Vision applied to the medical field.
  • 🤔 I’m currently learning about several different System Design topics: Horizontal Scalability, Caching, Indexing (B-trees), Load Balancing, and Cloud Platforms (AWS, Azure, and GCP).
  • 🌱 I'm actively working with a range of NLP methods, from traditional techniques to implementing and fine-tuning large language models.
  • 🎉 When I'm not coding, I enjoy exploring Munich's many bouldering halls.
  • 📫 How to reach me: jmttozato@gmail.com

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  1. ContraReg ContraReg Public

    PyTorch implementation of the ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration paper

    Python 5 1

  2. dmmr dmmr Public

    PyTorch implementation of the "A Deep Metric for Multimodal Registration" paper

    Python

  3. ChessGPT ChessGPT Public

    Training NanoGPT-based language models specialized in chess gameplay to beat me at chess.

    Python

  4. machadoLM machadoLM Public

    Implementation of a Transformer-based Large Language Model based on the works of Machado de Assis using PyTorch.

    Python

  5. deepali-registration deepali-registration Public

    Example of using the deepali framework for the task of medical imaging registration.

    Python

  6. IDIR IDIR Public

    PyTorch implementation of the "Implicit Neural Representations for Deformable Image Registration" paper

    Python