arnav-pati

iclr2023-meta-learning-eeg-mi-classification

Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 2023). Our meta-learning approach is compared to transfer learning in terms of accuracy after few-shot fine-tuning on new subjects for EEG-based motor imagery classification.

Brain-Age-Prediction

Brain Age Prediction from EEG recordings

A-Comparative-Study-of-Meta-Learning-vs.-Transfer-Learning-for-EEG-based-Brain-Computer-Interfaces

Handwritten-Optical-Character-Recognition

Deep Learning Group Project during Neuromatch Academy 2022

OTIS-submissions

My submissions during two months of Evan Chen's correspondence program "Olympiad Training for Individual Study (OTIS)"

DBMS-fest-app

arnav-pati/Brain-Age-Prediction

Brain Age Prediction from EEG recordings

arnav-pati/OTIS-submissions

My submissions during two months of Evan Chen's correspondence program "Olympiad Training for Individual Study (OTIS)"

arnav-pati/Handwritten-Optical-Character-Recognition

Deep Learning Group Project during Neuromatch Academy 2022

arnav-pati/iclr2023-meta-learning-eeg-mi-classification

Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 2023). Our meta-learning approach is compared to transfer learning in terms of accuracy after few-shot fine-tuning on new subjects for EEG-based motor imagery classification.

arnav-pati/A-Comparative-Study-of-Meta-Learning-vs.-Transfer-Learning-for-EEG-based-Brain-Computer-Interfaces