Deepak's Projects
AI, especially Deep Learning, has made breakthroughs in learning from Brain Signals, vital for both Brain Encoding and Decoding. Unlock the potential with this repository—a curated collection of resources and papers on Deep Learning Models for Brain-Computer Interfaces. Dive in to explore the future of brain-related AI advancements.
This repository contains a collection of resources and papers on GNN Models on Crystal Solid State Materials
An awesome README template to jumpstart your projects!
https://campiiser.com/schedule/
Climatematch Academy
Semester Course | IIT Kharagpur
COGS118C [Neural Signal Processing] @ UCSanDiego
CSE Machine Learning Project | Semester Mini Project
Example code for creating spectrograms from EEG data
Customer Satisfaction during Hotel-Stay using Decision Tree based Learning Model
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
Profile
DeepLearning.AI TensorFlow Developer Certification
Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.
Machine Learning
Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Reptile Meta-Learning I ICLR2023 Tiny Paper
DL for EEG based BCI notebooks
Here I keepoing all my notebook solutions of newly launched NeuroAi course from Neuroamatch Academy
NMA Computational Neuroscience course
Neuromatch Computational Neuroscience Summer School Project