PaulaLauren/word2vec
Automatically exported from code.google.com/p/word2vec
Developer Profile
PaulaLauren
Discovered public repositories for PaulaLauren in the GitHub catalog.
PaulaLauren/biomedical-text-exploring-tools
Automatically exported from code.google.com/p/biomedical-text-exploring-tools
PaulaLauren/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
PaulaLauren/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
PaulaLauren/prn_care
Public repository.
PaulaLauren/dep-vector-entailment
Public repository.
PaulaLauren/deeplearning4j-nlp-examples
Deep Learning4j NLP Examples
PaulaLauren/neuralnetworks
java deep learning algorithms and deep neural networks with gpu acceleration
PaulaLauren/Neural-Networks-Demysitifed
Supporting code for short YouTube series Neural Networks Demystified.
PaulaLauren/ml
Implementations of classic Machine Learning algorithms
PaulaLauren/pwum
Python web usage mining library
PaulaLauren/DeepLearningMovies
Kaggle's competition for using Google's word2vec package for sentiment analysis
PaulaLauren/word_embeddings
Code for the blog post "Making Sense of Word2vec"
PaulaLauren/DeepLearningBibliography
Bibliography for Publications about Deep Learning using GPU
PaulaLauren/DeepLearning
Deep learning code by Hinton
PaulaLauren/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
PaulaLauren/deep-learning
Deep Learning Reading List of some of the materials i found on the web for Deep Learning beginners.
PaulaLauren/coding-the-matrix
Homework repo for Coding the Matrix book
PaulaLauren/samr
An entry to kaggle's 'Sentiment Analysis on Movie Reviews' competition
PaulaLauren/semanticpy
A collection of semantic functions for python - including Latent Semantic Analysis(LSA)
PaulaLauren/DataScienceCourse3
Course 3 in the Data Science Specialization
PaulaLauren/GettingAndCleaningDataProject
course project for Class 3 in Data Science Specialization
PaulaLauren/DeepLearnToolbox
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.
PaulaLauren/Word2VecExample
An example application using Word2Vec. Given a list of words, it finds the one which isn't 'like' the others - a typical language understanding evaluation task.
PaulaLauren/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
PaulaLauren/scikit-learn
scikit-learn: machine learning in Python
PaulaLauren/gensim
Topic Modelling for Humans
PaulaLauren/pyner
Python interface to the Stanford Named Entity Recognizer
PaulaLauren/WekaRandomForest
Public repository.
PaulaLauren/libsvm-java
Clone of libsvm code
PaulaLauren/stat-cookbook
The probability and statistics cookbook
PaulaLauren/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
PaulaLauren/datasci_course_materials
Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.
PaulaLauren/Static-mahout-recommender-tutorial
Static Mahout Recommender (as simple as you can get) - Used for a youtube tutorial.
PaulaLauren/recsys-tutorial
Recommender Systems in Depth: An introduction to Recommender Systems using Python and Crab
PaulaLauren/kod
My personal code
PaulaLauren/lenskit
LensKit recommender toolkit.
PaulaLauren/lenskit-hello
Hello World for LensKit.
PaulaLauren/datasharing
The Leek group guide to data sharing
PaulaLauren/datasciencecoursera
Public repository.
PaulaLauren/testGithub
test directory
PaulaLauren/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
PaulaLauren/Semantic
Semantic Directory