Skip to content
View gabfarmarcondes's full-sized avatar
5 followers · 4 following

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

Block or report gabfarmarcondes

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
gabfarmarcondes/README.md

Hi, I'm Gabriel 👋

Computer Science undergraduate at the Federal University of Technology – Paraná (UTFPR), building real-world projects at the intersection of Backend Engineering and Machine Learning applied to physiological signals (EEG/BCI).

  • 🔭 Currently working on adaptive Brain-Computer Interfaces with Continual Learning
  • 🌱 Always learning: MLOps, deep learning, and clinical AI
  • 📫 Reach me at gabriel.farias2024@outlook.com.br

🛠️ Tech Stack

Programming Languages Python Java TypeScript JavaScript SQL C++

Machine Learning & Data PyTorch scikit-learn Pandas NumPy

Backend & Infrastructure Spring Boot NestJS FastAPI Docker PostgreSQL Git

📊 GitHub Stats

🚀 Featured Projects

  • Detecting-Burnout-via-EEG — Real-time burnout detection from EEG signals using Few-Shot Learning with subject-independent generalization and Grad-CAM explainability.
  • Motor-Imagery-BCI — Brain-Computer Interface for real-time game control via motor imagery. EEGNet + CSP/LDA on the BCI Competition IV 2a dataset.
  • EEG-MachineLearning-Kaggle — Emotion classification from EEG signals (DEAP dataset), exploring the Circumplex Model of Affect.

📬 Let's connect

Pinned Loading

  1. Detecting-Burnout-via-EEG Detecting-Burnout-via-EEG Public

    Burnout detection via EEG using Few-Shot Learning and Convolutional Neural Networks. Subject-Independent approach with explainable visualization (XAI/Grad-CAM).

    Python

  2. Motor-Imagery-BCI Motor-Imagery-BCI Public

    Motor Imagery BCI classifying 4 EEG classes (BCI Competition IV 2a). CSP+LDA baseline vs EEGNet in PyTorch, with run-based cross-validation, artifact rejection, and a 2D game demo driven by recorde…

    Python 1

  3. EEG-MachineLearning-Kaggle EEG-MachineLearning-Kaggle Public

    Análise e Classificação de Emoções com EEG e Machine Learning Inicial para Futuros Projetos na Área.

    Python

  4. Automatic-Classification-Sleep-Stage-ISRUC-SLEEP_III Automatic-Classification-Sleep-Stage-ISRUC-SLEEP_III Public

    Automatic classification of sleep stages from single-channel EEG signals, using feature extraction and a combination of classifiers based on the ISRUC-Sleep Cohort III dataset

    Python