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Achievement: Starstruckx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx2Achievement: Arctic Code Vault Contributor

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DiegoPaezA/README.md
  • 👋 Hi, I’m @DiegoPaezA, electronic engineer with experience designing and implementing embedded systems involving signal acquisition and conditioning. Sensor management and configuration using programming languages such as Python, C/C++. I am currently pursuing doctoral studies in Methods to Support Decision Making.
  • 👀 I’m interested in Machine Learning - Deep Learning - NAS - Evolutionary Algorithm
  • 🌱 I’m currently learning TensorFlow, PyTorch, Evolutionary Algorithm with Quantum Inspiration + NAS...
  • 💞️ I’m looking to collaborate on projects that apply Machine Learning - Deep Learning ...
  • 📫 How to reach me - Email: [email protected].

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  1. ESP32-freeRTOS ESP32-freeRTOS Public

    Basic Examples of FreeRTOS with ESP32 and ESP-IDF

    C 481 97

  2. pytorch-course pytorch-course Public

    PyTorch for Deep Learning in 2023: Zero to Mastery

    Jupyter Notebook 8 6

  3. CienciaDatos-MASDI CienciaDatos-MASDI Public

    Repositorio con ejemplos y actividades del curso Ciencia de Datos de la MASDI

    Jupyter Notebook 2 6

  4. q-nas-enhanced-se q-nas-enhanced-se Public

    This repository contains code for an enhanced Quantum-Inspired NAS approach integrating SE and CBAM modules. It aims to produce efficient, high-performing CNN architectures for medical image classi…

    Python

  5. qnas_torch qnas_torch Public

    Q-NAS version in pytorch, applied to image classification.

    Python 1

  6. MoQ-NAS MoQ-NAS Public

    A flexible framework for Multi-Objective Neural Architecture Search (NAS) in PyTorch. It implements and compares Quantum-Inspired (MO-QNAS) and classic Evolutionary Algorithms (GA, NSGA-II, NSGA-II…

    Jupyter Notebook