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 ;)
bowtie model of mobile use
an open-source python toolbox to analyze mobile phone metadata
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
Python bindings to libpostal for fast international address parsing/normalization
Instant access to many datasets.
Build a Jekyll blog in minutes, without touching the command line.
Ogilvy Data Science Lab.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Code samples for my book "Neural Networks and Deep Learning"
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Source code for the "Learning scikit-learn: Machine Learning in Python"
Content for Dato tutorials and training
Python library for processing Chinese text
Weekly meeting notes
Static and dynamic network visualization with R - code and tutorial from Polnet 2015 workshop.
Information propagation trees of Sina Weibo