deepak-mewada Goto Github PK

advance-machine-learning

awesome-ai4bci

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.

awesome-crystal-gnns

This repository contains a collection of resources and papers on GNN Models on Crystal Solid State Materials

best-readme-template

An awesome README template to jumpstart your projects!

camp

https://campiiser.com/schedule/

climate-course-content

climatematch_coursecontent

Climatematch Academy

cognitiveinformationprocessing

Semester Course | IIT Kharagpur

cogs118c

COGS118C [Neural Signal Processing] @ UCSanDiego

course-content-dl

cricket-format-clustering-using-complete-linkage-hierarchical-clustering-technique

CSE Machine Learning Project | Semester Mini Project

cse481_spectrogram_example

Example code for creating spectrograms from EEG data

customer-satisfaction-during-hotel-stay-using-decision-tree-based-learning-model

Customer Satisfaction during Hotel-Stay using Decision Tree based Learning Model

deep-learning-coursework

deep-learning-for-bci

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

deepak-mewada

Profile

deeplearning.ai-tensorflow-developer

DeepLearning.AI TensorFlow Developer Certification

dl-for-eeg-based-bci

ecogfingerflex

Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms

eeg_shape_reconstruction

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.

hackathone

machine-learning

Machine Learning

metaeeglearner

Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Reptile Meta-Learning I ICLR2023 Tiny Paper

miscellaneous

neuraldecoder

DL for EEG based BCI notebooks

neuroai-nma

Here I keepoing all my notebook solutions of newly launched NeuroAi course from Neuroamatch Academy

nma-cn

nma-course-content-deep-learning

NMA Computational Neuroscience course

nma-dl

orientation-selective-random-n-ess-in-mouse-v1_stringer-dataset

Neuromatch Computational Neuroscience Summer School Project