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fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fastai

The fast.ai deep learning library, lessons, and tutorials

fbcsp

implementation of FBCSP algorithm

fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

fitbit

Python scripts for accessing Fitbit API and downloading time-series and daily summary data

hapod

Hierarchical Approximate Proper Orthogonal Decomposition

human-emotion-analysis-using-eeg-from-deap-dataset

Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EEG ratings based on Arousl and Valence(high /Low)

itc2017

Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"

laplacian-eigenmaps

Spectral embedding using Laplacian Eigenmaps

learn_blockchain_in_2_months

This is the code for "Learn Blockchain in 2 Months" by Siraj Raval on Youtube

learn_computer_science_in_5_months

This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

learn_math_fast

This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube

machine-learning-notebooks

Machine Learning notebooks for refreshing concepts.

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

mi-classification-using-sparsity

Classification of MI EEG signal using sparsity approach

mitoolbox

Mutual Information functions for C and MATLAB

ml-bci-dryeeg

Code and guide through my customizable machine-learning pipeline for dry-EEG BCI data

moabb

Mother of All BCI Benchmarks

motor-imagery-classification

In this project, we use python, scikit-learn, tensorflow and MNE to build a classifier for predicting motor imagery from EEG data.

motor-imagery-classification-1

It includes OpenViBE scenarios for two-class motor imagery EEG data classification.

motor-imagery-classification-mlp

A basic implementation of multilayered neural network (deep learning) for motor imagery classification

motor-imagery-eeg-data

It includes Motor Imagery EEG data for 15 subjects collected at BCI-HCI Labaratory at IIT Kharagpur.

motor-imagery-tasks-classification-using-eeg-data

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

motor_imagery-based_single-channel_eeg_classification

submitted to Global SIP 2018

motorimagery

motorimageryml

A comparison of different machine learning algorithms for binary classification of EEG signals elicited from motor imagery

mutual-information-ica

Matlab scripts for implementing a mutual-information-based algorithm for independent component analysis. The algorithm works by iteratively rotating pairs of principle components until an optimum is found. The cost function is based on the summed negentropy of the discovered components, which is closely relative to the component mutual information.

mutualinformation

mutualinformation analysis algorithms