Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch tutorials.

An Octave kernel for IPython

Python library for building Grafana dashboards

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Foundations of Python Network Programming (Apress) — scripts and examples

Public Presentations

Tutorial on "Modern Optimization Methods in Python"

Tutorial on "Efficient Python for High-Performance Computing"

PyCon 2015 Pandas tutorial materials

fast.ai Courses

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Python interface to GPU-powered libraries

Official content for Harvard CS109

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

Simple examples to introduce PyTorch

Rainbow: Combining Improvements in Deep Reinforcement Learning

Approximate Nearest Neighbor Search for Sparse Data in Python!

Minimal tutorials for PyTorch

Contiki for Launchpad

Exercises for the Sphinx Tutorial that I used to present each year at PyCon

Deep Residual Learning for Image Recognition

nRF24L01+ Transceiver Library for Energia, geared for simplicity.

Official content for the Fall 2014 Harvard CS109 Data Science course

Some IPython notebooks I've created...

A demo of how to use PageRank with Hadoop and SociaLite to identify anomalies in Healthcare Data

TinkerPop 3 implementation on Elasticsearch backend