chees-ea Goto Github PK

allensdk

code for reading and processing Allen Institute for Brain Science data

awesome-bci

Curated Collection of BCI resources

bci-workshop

Material for the BCI Workshop held at District 3 in May 2015 by BCI Montréal.

bmtk

Brain Modeling Toolkit

carlytaylor0017.github.io

chees-ea.github.io

convrnns

ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks

decision-trees-and-random-forest---predicting-potential-customers

deep-learning---cnn

dimensionality-reduction-techniques

The objective of this problem is to explore the data and reduce the number of features by using dimensionality reduction techniques like PCA and TSNE and generate meaningful insights.

eeg-101

Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.

eeg-notebooks

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

eeg-pytorch

EEG motor-imagery data analysis using MNE and Pytorch

foundations-for-data-science

Analyzing the marketing campaigns to help CMO devise the next strategy Visible to public Course Foundations for Data Science This project aims to analyze marketing data and address some important business problems/questions related to customer demographics, product preferences, channel performances, etc. Skills and Tools Exploratory Data Analysis, Data Visualization, Statistics

gnnpapers

Must-read papers on graph neural networks (GNN)

intracranialneurophysdl

A short course for getting started with deep learning for intracranial extracellular neurophysiology.

malariacapstone

neural-networks-house-number-and-digit-recognition

neuromatch-deep-learning

NMA deep learning course

ntx-dockit-chapter-guidelines

NeuroTechX Chapter Information!

opensource

Collaborative repository of Rune Labs code and algorithms

recommendation-systems-amazon

Building recommendations systems for Amazon for MIT ADSP program.