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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tutorials by torch

A series of machine learning tutorials for Torch7

created at July 14, 2012, 5:33 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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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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rbm by zachmayer

Restricted Boltzmann Machines in R

created at Jan. 22, 2014, 3:08 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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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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topic-model-lecture-note by dongwookim-ml

lecture notes for probabilistic topic models using ipython notebook

created at Aug. 28, 2014, 7:41 a.m.

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python-topic-model by dongwookim-ml

Implementation of various topic models

created at Aug. 29, 2014, 4:01 a.m.

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DataScienceR by ujjwalkarn

a curated list of R tutorials for Data Science, NLP and Machine Learning

created at Oct. 8, 2014, 7:29 a.m.

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cs231n.github.io by cs231n

Public facing notes page

created at Jan. 5, 2015, 6:43 a.m.

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gplearn by trevorstephens

Genetic Programming in Python, with a scikit-learn inspired API

created at March 26, 2015, 1:01 a.m.

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TheAnalyticsEdge by pedrosan

Notes from the edX Course

created at April 6, 2015, 5:31 p.m.

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intro2stats by rouseguy

Introduction to Statistics using Python

created at May 9, 2015, 6:26 a.m.

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intro2deeplearning by rouseguy

Introduction to Deep Learning

created at May 18, 2015, 5:19 p.m.

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char-rnn by karpathy

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

created at May 21, 2015, 5:25 p.m.

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awesome-rnn by kjw0612

Recurrent Neural Network - A curated list of resources dedicated to RNN

created at June 15, 2015, 10:21 a.m.

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awesome-random-forest by kjw0612

Random Forest - a curated list of resources regarding random forest

created at June 15, 2015, 10:23 a.m.

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machine-learning by ethen8181

machine learning tutorials (mainly in Python3)

created at July 24, 2015, 3:35 a.m.

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kaggle-grasp-and-lift by apaszke

Code for Kaggle EEG Detection competition

created at July 25, 2015, 10:26 p.m.

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