An entry to kaggle's 'Sentiment Analysis on Movie Reviews' competition

Deep Learning Reading List of some of the materials i found on the web for Deep Learning beginners.

Code for the blog post "Making Sense of Word2vec"

Probabilistic Modeling Toolkit for Matlab/Octave.

Kaggle's competition for using Google's word2vec package for sentiment analysis

Deep Learning4j NLP Examples

scikit-learn: machine learning in Python

Implementations of classic Machine Learning algorithms

Topic Modelling for Humans

java deep learning algorithms and deep neural networks with gpu acceleration

Repository for Programming Assignment 2 for R Programming on Coursera

Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.

LensKit recommender toolkit.

Hello World for LensKit.

My Python n-gram Language Model from an NLP course. Since there are so public implementations, I feel free to post mine.

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

The probability and statistics cookbook

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 …

My personal code

Python web usage mining library

Python interface to the Stanford Named Entity Recognizer

Static Mahout Recommender (as simple as you can get) - Used for a youtube tutorial.

A collection of semantic functions for python - including Latent Semantic Analysis(LSA)