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Name: Geeshan Willink
Type: User
Bio: Builds stuff end-to-end.
Location: Berlin, Barcelona, London, Amsterdam
Name: Geeshan Willink
Type: User
Bio: Builds stuff end-to-end.
Location: Berlin, Barcelona, London, Amsterdam
Curated bits and bytes of Julia (language) learning resources, libraries, cookbooks and blog links, howto's, etc...
Open Content for self-directed learning in data science
Classical equations and diagrams in machine learning
Python coded examples and documentation of machine learning algorithms.
POC IDS anomaly detection engine built with iPython notebook, matplotlib, pandas, numpy, scikit-learn, d3.js, hyperloglog implementation, PYCON 2013 Intro and Advanced Machine Learning Tutorial Notebooks
MapReduce course at the University of Maryland for Spring 2013
Data-Intensive Text Processing with MapReduce
Repository for MapReduce Design Patterns (O'Reilly 2012) example source code
Quickly download and scrape websites on a massive scale.
PyData SV 2013 Tutorial on Advanced Matplotlib
The official online compendium for Mining the Social Web (O'Reilly, 2011)
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
Code accompanying the book "Machine Learning for Hackers"
An API for Distributed Machine Learning
Experimenting with d3 renderings for matplotlib plots
Takes CSV or tab-delimited data from Excel and converts it into several web-friendly formats, include JSON and XML.
Official mirror of the Myrrix open source recommender's Subversion repository
IPython Notebook (and converted .py) examples based on those presented in Jacob Perkin's NLTK 2.0 Cookbook text
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Recipes for using Python's pandas library
Tutorial on scikit-learn and IPython for parallel machine learning
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 ;)
Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis
Adaptations and Extensions of Twitter-Related Examples from Mining the Social Web
Regular expression magic for the IPython Notebook
Lectures on scientific computing with python, as IPython notebooks.
scikit-learn: machine learning in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.