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Hi there, I'm Divyesh 👋

A PhD student in the Cardiovascular Health Tech Lab at the University of Pittsburgh.

I'm also super interested in Neurotech and understanding the brain.

Always on the lookout for opportunities to learn and work especially with Signal Processing, Machine Learning, Deep Learning decoding techniques, especially for Biomedical/Neural Data.

My favorite projects 💻


Contributing to Open Source Projects



About me 😇

Timezone: Pittsburgh (EST = GMT-5)


  • Currently working on further open source contributions to Braindecode, MOABB, mne-connectivity.

  • Getting my older projects to Github ready states to open source them.

Fun Facts

  • Attended the Neuromatch Academy - Deep Learning Course on the Interactive Track and completely enjoyed learning throughout it.

  • Very interested in better learning techniques, both for myself and algorithms!

  • Strong believer in better science through open source.

Divyesh Narayanan's Projects

braindecode icon braindecode

Deep learning software to decode EEG or MEG signals

eeg-notebooks icon eeg-notebooks

A collection of classic EEG experiments implemented with Python and Jupyter notebooks

moabb icon moabb

Mother of All BCI Benchmarks

sktime icon sktime

A unified framework for machine learning with time series

sleepstaging-transferlearning icon sleepstaging-transferlearning

Across Age Groups Transfer Learning techniques applied on the Physionet Sleep dataset for the NeurIPS BEETL-AI Hackathon 2021

workloadestimation icon workloadestimation

Intra-Subject Inter-Session Transfer Learning for 3-class Workload Estimation on EEG data. The codebase for submission to Passive BCI Hackathon - Neuroergonomics Conference 2021

yuridevat icon yuridevat

My personal portfolio as a special repository of the readme project

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