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mushu

BCI signal acquisition

neuropsydia.py

A Python Module for Creating Experiments, Tasks and Questionnaires.

neuroscience_tutorials

Some tutorials for students of neuroscience

nhw_nilearn_2017

nlp-exercises

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

notebooks

A collection of practical handson jupyter notebooks on bigdata/ml/dl/rl/cv/nlp/ds/scipy/viz-lib/various command lines

nubmi

numerical-linear-algebra-v2

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

numerical-python-book-code

odscon-2015

Slides and material for open data science

omission_frontiers

Code for omission frontiers

openbci_python

The Python software library designed to work with OpenBCI hardware.

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

practicalai

A practical approach to learning machine learning.

prml

PRML algorithms implemented in Python

py2nb

[This is no longer maintained] Python script to Jupyter notebook converter

pycon2017

Resources and materials related to PyCon 2017.

pycon9-pytorch-from-ground-up

Material for "PyTorch from Ground Up", a training session at PyCon Nove (Florence, 2018)

pykernels

Python library for working with kernel methods in machine learning

pyppt

Python interface for adding figures to Microsoft PowerPoint presentations on-the-fly.

pystatsml

Statistics and Machine Learning in Python

python-data-science-handbook

Sourced from O'Reilly ebook of the same name.

python-urx

Python library to control a robot from 'Universal Robots' http://www.universal-robots.com/

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-deep-learning-minicourse

Minicourse in Deep Learning with PyTorch

pytorch-examples

Simple examples to introduce PyTorch

pytorch-learners-tutorial

PyTorch tutorial for learners

pytorch-made

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.