Skip to content
View bruAristimunha's full-sized avatar
🧠
decoding brain data
🧠
decoding brain data

Organizations

@Project-MONAI

Block or report bruAristimunha

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.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

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

Report abuse
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 812 178

  2. NeuroTechX/moabb NeuroTechX/moabb Public

    Mother of All BCI Benchmarks

    Python 689 178

  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 34 5