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🧠
decoding brain data
🧠
decoding brain data
119 followers · 341 following

Achievements

Achievement: StarstruckAchievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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  • Pro

Organizations

@Project-MONAI

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bruAristimunha/README.md

Hello World

Hello there 👋! My name is Bruno Aristimunha

 

💬  About Me

  • I am a PhD student in Computer Science (Université Paris-Saclay 🇫🇷 and Federal University of ABC 🇧🇷).
  • I am an open-source maintainer of the Braindecode, Pytorch library for EEG Decoding (https://github.com/braindecode/).
  • I am a Data scientist skilled in machine learning, deep learning, and electrophysiological signal processing.
  • Self-adaptable and self-start IT professional that enjoys learning new concepts and tools to solve problems. Check my linkedin for my full job and projects history.

🛠  Tech Stack

  • I have experience working with many different programming languages and frameworks, most notably: Python, Kotlin, Linux, Java, AWS, C, and Haskell.

  • I have a background in Python packages, such as Numpy, Scipy, Pandas, Scikit-Learn, Pytorch, Tensorflow, Dash, and Dask. Also, brain signal ecosystem: Braindecode, MNE, Moabb.

Pinned Loading

  1. braindecode/braindecode braindecode/braindecode Public

    Deep learning software to decode EEG, ECG or MEG signals

    Python 834 181

  2. NeuroTechX/moabb NeuroTechX/moabb Public

    Mother of All BCI Benchmarks

    Python 710 181

  3. rycamargo/sleep-energy rycamargo/sleep-energy Public

    Source-code from paper "Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring."

    Python 4 1

  4. Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models Public archive

    Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.

    Python 39 5