Home energy consumption monitoring

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

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

Rainbow: Combining Improvements in Deep Reinforcement Learning

Python library for building Grafana dashboards

Approximate Nearest Neighbor Search for Sparse Data in Python!

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

Python interface to GPU-powered libraries

Minimal tutorials for PyTorch

PyTorch tutorials.

Simple examples to introduce PyTorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

fast.ai Courses

Deep Residual Learning for Image Recognition

Kaggle 'Microsoft Malware Classification Challenge' 3rd place solution

Official content for the Fall 2014 Harvard CS109 Data Science course

Official content for Harvard CS109

Tutorial on "Efficient Python for High-Performance Computing"

Tutorial on "Modern Optimization Methods in Python"

Public Presentations

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

Some IPython notebooks I've created...

Bayesian Network with R and Hadoop

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

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 ;)

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

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

PyCon 2015 Pandas tutorial materials

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

TinkerPop 3 implementation on Elasticsearch backend