shipoopi/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Yeoman generator for AngularJS with a PHP backend
Angular Phonecat Demo porting for Angular UI Router (https://github.com/angular-ui/ui-router). For study purpose.
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 ;)