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ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

mne-python

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

mne_scipy2017

Slides for MNE talk at Scipy Conf. 2017

mnelab

MNELAB - a graphical user interface (GUI) for MNE

models

Models and examples built with TensorFlow

moma

MoMA: Modern Multivariate Analysis in R

mrsp_tutorials

Multirate Signal Processing Tutorials

mwf-artifact-removal

MWF-based EEG artifact removal in MATLAB

network_tda_tutorial

This repository is dedicated for the tutorial on network and topological neuroscience.

nirslab

tools for processing NIRS data

probability

Probabilistic reasoning and statistical analysis in TensorFlow

probability-1

A Gentle Introduction to Proabability

python

All Algorithms implemented in Python

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

riksneurotools

Rik Henson's neuroimaging analysis tools

rme

scikit-learn

scikit-learn: machine learning in Python

sigviewer

SigViewer is a viewing application for biosignals.

siml

Machine Learning algorithms implemented from scratch

srm

Shared Response Model (SRM) of NIPS 2015

statsmodels

Statsmodels: statistical modeling and econometrics in Python

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-in-practice-specialization

This repository contains notebooks from the Coursera specialization TensorFlow in Practice.

tensorflow-in-practise-specialization

Four Courses Specialization Tensorflow in practise Specialization