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Xiao-Su (Frank) Hu's Projects

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

cs229-machine-learning icon cs229-machine-learning

Stanford CS229 course material by Andrew Ng, with problem set, Matlab code and scanned notes written by me

ds501 icon ds501

S16 DS501 Intro to Data Science

eeglab icon eeglab

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

ethminer icon ethminer

Ethereum miner with OpenCL, CUDA and stratum support

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

fnirs1 icon fnirs1

MATLAB Interface to Dr. TD Johnson's Code for fNIRS analysis

hello-world icon hello-world

This is a test repository for learning how to use git-hub.

homer3 icon homer3

MATLAB application for fNIRS data processing and visualization

kepler-mapper icon kepler-mapper

Kepler Mapper: A flexible Python implementation of the Mapper algorithm.

mapper-tda icon mapper-tda

Mapper implementation (Topological Data Analysis) in Python

mne-python icon mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

nodens icon nodens

Some useful algorithms missing from networkx, including community detection, constraint calculation, and coreness. Not ready for general consumption.

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