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Achievement: Pair ExtraordinaireAchievement: Pull Shark

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aconesac/README.md

💫 About Me:

👋 Hi, I’m @aconesac
👀 I’m interested in Generative Artificial Intelligence and the development of biomedical devices
🌱 I’m currently learning to use GenAI models and tools
💞️ I’m working on the development of AI models to perform Ultrasound MetaSimulations
📫 How to reach me agusconesaceldran@gmail.com

🌐 Socials:

LinkedIn

💻 Tech Stack:

LaTeX Python R Bash Script Anaconda MySQL Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub Actions GitHub Arduino Raspberry Pi

📊 GitHub Stats:



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  1. fusGAN fusGAN Public

    Generative Adversial Networks framework for the generation of Focused Ultrasound Simulations. This is a preliminary work for a tool to be integrated in a FUS Therapy planning software.

    Python 2 1

  2. waltsims/k-wave-python waltsims/k-wave-python Public

    A Python interface to k-Wave GPU accelerated binaries

    Python 207 58

  3. RAGfus RAGfus Public

    Personal Web App to perform RAG on your own project documents

    Python

  4. BecTome/semeval25-FactCheckedClaimRetrieval BecTome/semeval25-FactCheckedClaimRetrieval Public

    Jupyter Notebook

  5. PauBaguer/iml-work1-clustering PauBaguer/iml-work1-clustering Public

    Python

  6. 2048 2048 Public

    A Deep Reinforcement Learning agent that learns to play the 2048 game using Deep Q-Networks (DQN) with TensorFlow/Keras.

    Python