Python package for covariance matrices manipulation and Biosignal classification

pyRiemann pyRiemann is a python package for covariance matrices manipulation and classification through Riemannian geometry. The primary target is classification of multivariate biosignals, like EEG, MEG or EMG. This is work in progress … stay tuned. This code is BSD-licenced (3 clause). Documentation The documentation is available on http://pyriemann.readthedocs.io/en/latest/ Install Using PyPI pip install pyriemann or using pip+git for the latest version of the code : pip install git+https://github.com/pyRiemann/pyRiemann Anaconda is not currently supported, if you want to use anaconda, […]

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Machine Translation Weekly 86: The Wisdom of the WMT Crowd

Most of the papers that I comment on and review here present novel and cool ideas on how to improve something in machine translation or multilingual NLP. On the other hand, the WMT submissions are different. People want to get the best translation quality and value efficiency, and simplicity. Novelty and prettiness of the ideas are secondary. WMT organizes annual competitions in machine translation quality (and other tasks related to machine translation) where dozens of companies and universities participate. Each […]

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Advanced Deep Learning with TensorFlow 2 and Keras

dvanced-Deep-Learning-with-Keras This is the code repository for Advanced Deep Learning with TensoFlow 2 and Keras, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish. Please note that the code examples have been updated to support TensorFlow 2.0 Keras API only. About the Book Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available […]

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Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

Deep Learning with PyTorch Step-by-Step This is the official repository of my book “Deep Learning with PyTorch Step-by-Step“. Here you will find one Jupyter notebook for every chapter in the book. Each notebook contains all the code shown in its corresponding chapter, and you should be able torun its cells in sequence to get the same outputs as shown in the book. I strongly believe that being able to reproduce the results brings confidence to the reader. There are three […]

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Creates clean and beautiful plots that work on light and dark backgrounds

dufte This package creates clean and beautiful plots that work on light and dark backgrounds. Inspired by the work of Edward Tufte. To use, simply select the dufte style: import dufte import matplotlib.pyplot as plt # global setting: plt.style.use(dufte.style) # with a context manager: with plt.style.context(dufte.style_bar): # … pass Check out dufte.legend(), dufte.ylabel(), and dufte.show_bar_values() for more duftiness. Comparison with default Matplotlib See here for how to create the below plots. matplotlib dufte with dufte.legend() matplotlib dufte dufte with dufte.show_bar_values() […]

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A Python parser that takes the content of a text file and then reads into variables

Text-File-Parser A Python parser that takes the content of a text file and then reads into variables. Input.text File 1. What is your ***? 1. 18 – 34 2. 35- 44 3. 45- 54 4. 55-64 5. Over 65 6. Don’t know 2. What *** do you live in? 1. Ontario 2. Quebec 3. Manitoba 4. Alberta 5. Other Given a plain text file as above, this Python script reads all the questions and their numbers, storing them into two […]

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A SAML2 SPID/CIE Service Provider validation tool

spid-sp-test spid-sp-test is a SAML2 SPID/CIE Service Provider validation tool that can be executed from the command line. This tool was born by separating the test library already present in spid-saml-check. Features spid-sp-test can: test a SAML2 SPID/CIE Metadata file or http url test a SAML2 SPID/CIE AuthnRequest file or or http url test ACS behaviour, how a SP replies to a SAML2 Response dump the responses sent to an ACS and the HTML of the SP response handle Attributes […]

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Using Selenium to Webscrape Data of Top Tech YouTubers

webscrape_youtube Web scraping was performed on the Top 10 Tech Channels on Youtube using Selenium (an automated browser (driver) controlled using python, which is often used in web scraping and web testing). Web scrapped Youtube channels were were determined using a Top 10 Tech Youtubers list from blog.bit.ai. Scraping included: General data for each channel ex.join date, name, no. of subscribers Data from most popular videos per channel Data specific to each video. ex. post date, no. of upvotes, no. […]

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A tiny tool using script for schema to schedule one day

Schemdule Schemdule is a tiny tool using script for schema to schedule one day and remind you to do something during a day. Usage $ pip install schemdule Write a Schema It’s a pure python script, so you can use any python statement in it. Schemdule provide at and cycle functions for registering events. # time_str can be {hh:mm} or {hh:mm:ss} def at(time_str: str, message: str): # register an event at time with message … def cycle(start_str: str, end_str: str, […]

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