Snazz2001/sklearn_pycon2014
Repository containing files for my PyCon 2014 scikit-learn tutorial.
Public repository discovered through GitHub real-time crawl.
This repository is cataloged as part of our automated global GitHub synchronization. Full telemetry, velocity snapshots, and code summaries are scheduled for continuous enrichment.
Repository containing files for my PyCon 2014 scikit-learn tutorial.
Fast, memory efficient and configurable python based Naive Bayes classifier.
Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwritten digits data.
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.