This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Deep Learning Tutorial notes and code. See the wiki for more info.

A Machine Learning library based on Theano

Tutorial material on the scientific Python ecosystem

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Recipes of the IPython Minibook

Cracking the Coding Interview

Official content for the Fall 2014 Harvard CS109 Data Science course

A curated list of awesome Machine Learning frameworks, libraries and software.

Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.

Introdução à computação científica com Python (em pt_BR)

And they say Python is slow...

A GPU implementation of Convolutional Neural Nets in C++

A case study for predicting the tips in the New York City taxis

Sarcasm detector

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

Tutorial: SciPy and OpenCV as an interactive computing environment for computer vision

Open source Python module for computer vision

Official content for Harvard CS109

Tutorial on reproducible research practices at SciPy 2014

This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Nee…

A basic implementation of convolutional neural nets

A simple, concise, and Pythonic computer vision toolkit.

Scikit-learn tutorials for the Scipy 2013 conference

Github project for continued development of PLEX wordspotting.