- 🔭 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 Data Engineering topics: Data Pipelines, ETL Processes 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
-
FELD M
- Munich, Germany
- https://jmtzt.github.io/jmtzt_notes/
Block or Report
Block or report jmtzt
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abusePinned Loading
-
dmmr
dmmr PublicPyTorch implementation of the "A Deep Metric for Multimodal Registration" paper
Python
-
ChessGPT
ChessGPT PublicTraining NanoGPT-based language models specialized in chess gameplay to beat me at chess.
Python
-
machadoLM
machadoLM PublicImplementation of a Transformer-based Large Language Model based on the works of Machado de Assis using PyTorch.
Python
-
deepali-registration
deepali-registration PublicExample of using the deepali framework for the task of medical imaging registration.
Python
-
IDIR
IDIR PublicPyTorch implementation of the "Implicit Neural Representations for Deformable Image Registration" paper
Python
If the problem persists, check the GitHub status page or contact support.