deep-belief-nets-for-topic-modeling by larsmaaloee

This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.

created at May 20, 2014, 6:54 p.m.

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Kalman-and-Bayesian-Filters-in-Python by rlabbe

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

created at May 16, 2014, 7:24 p.m.

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rbm by zachmayer

Restricted Boltzmann Machines in R

created at Jan. 22, 2014, 3:08 p.m.

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machine-learning-cheat-sheet by soulmachine

Classical equations and diagrams in machine learning

created at May 9, 2013, 7:43 a.m.

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers by CamDavidsonPilon

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 ;)

created at Jan. 14, 2013, 3:46 p.m.

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tutorials by torch

A series of machine learning tutorials for Torch7

created at July 14, 2012, 5:33 a.m.

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DeepLearningTutorials by lisa-lab

Deep Learning Tutorial notes and code. See the wiki for more info.

created at Jan. 7, 2010, 6:42 p.m.

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