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jlopetegui98/README.md

👋 Hi there, I’m Javier Alejandro LOPETEGUI GONZALEZ!

🎓 I am currently pursuing the MVA Master's program at ENS Paris-Saclay.
💡 With a strong background in Computer Science and Deep Learning, my research interests include multimodal approaches, knowledge acquisition processes in deep learning, and developing models that are efficient, reliable, and interpretable.

🛠️ Skills & Technologies

  • Languages: Python, C++, C#, C, Go
  • Frameworks & Tools: PyTorch, TensorFlow, Transformers
  • Fields of Expertise: Natural Language Processing (NLP), Natural Language Understanding, Computer Vision, Generative Models, Algorithms

🌟 Key Projects

🔗Creation of a synthetic dataset for French-NER in biomedical data. Dataset available in HuggingFace

🔗Exploring generative approaches for NER in biomedical data

🔗 RebornToBeWilde: Fine-Tuning a Language Model to Mimic Oscar Wilde

🔗 Applying Loss-Calibrated Approximate Inference in Bayesian Neural Networks for X-rays image classification

🔗 Exploring classical ML approaches for X-rays images classification

🔗 PGM-FP: Generative modelling with Missing not at Random Data: Combining DLVMs to enhance data imputation

📫 Let's Connect!

Pinned Loading

  1. NER-ClinicalTrials-Eligibility-Criteria NER-ClinicalTrials-Eligibility-Criteria Public

    Repository for TER implementations

    Jupyter Notebook 1

  2. BayesianML-project BayesianML-project Public

    Implementation of the final project for BayesianML course

    Jupyter Notebook 1

  3. Creation-of-a-synthetic-dataset-for-French-NER-in-clinical-trial-texts Creation-of-a-synthetic-dataset-for-French-NER-in-clinical-trial-texts Public

    Final project of Hands-On NLP course at Université Paris-Saclay M1-AI

    Jupyter Notebook 1

  4. RebornToBeWilde RebornToBeWilde Public

    This repo contains the workflow for 2024 paper Reborn to be Wilde

    Jupyter Notebook

  5. recvis_a3_JavierLOPETEGUI recvis_a3_JavierLOPETEGUI Public

    Python

  6. KernelMethods_DataChallenge KernelMethods_DataChallenge Public

    Forked from cuevascarlos/KernelMethods_DataChallenge

    Kaggle Data Challenge for the course Kernel Methods for Machine Learning from the M2-MVA (ENS-Paris Saclay).

    Jupyter Notebook