GomesNayagam/coverage-mocha-istanbul-karma
Mocha code coverage example via Istanbul and Karma
Developer Profile
GomesNayagam
Discovered public repositories for GomesNayagam in the GitHub catalog.
GomesNayagam/regexpbuilderjs
Create regular expressions using chained methods.
GomesNayagam/workspace
java,python,scala code
GomesNayagam/topics
Topic modeling with gensim and LDA
GomesNayagam/phrases
Public repository.
GomesNayagam/jellyfish
a python library for doing approximate and phonetic matching of strings.
GomesNayagam/book-nlp
Natural language processing pipeline for book-length documents
GomesNayagam/notebooks
Some sample IPython notebooks for scikit-learn
GomesNayagam/multipass-for-coreference
Implementation of paper Lee, Heeyoung, et al. "Stanford's multi-pass sieve coreference resolution system at the CoNLL-2011 shared task." Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task. Association for Computational Linguistics, 2011.
GomesNayagam/storm-deploy
One click deploy for Storm clusters on AWS
GomesNayagam/d3_tutorials
D3 Tutorials by d3Vienno on YouTube. Great way to learn D3! (http://www.youtube.com/watch?v=n5NcCoa9dDU)
GomesNayagam/Zipfian_project-similarity_between_SF_neighborhoods
The code and data from my personal project at Zipfian, in which I create a quantitative measure of similarities between neighborhoods in San Francisco.
GomesNayagam/kaggle-yelp-business-rating-prediction
Code for Kaggle Contest "RecSys2013: Yelp Business Rating Prediction" -- Predicting Business Ratings on Yelp.com Using Machine Learning. My final submission scored an RMSE of 1.2307 which earned a rank of #7 out of ~250 teams. This a collection of code that is meant to be run from python console, it is not a stand-alone program
GomesNayagam/Insults
Code for the Kaggle insult competition
GomesNayagam/kaggle_insults
Kaggle Submission for "Detecting Insults in Social Commentary"
GomesNayagam/statistical-analysis-python-tutorial
Statistical Data Analysis in Python
GomesNayagam/amazon-reviews
A Positive/Negative Sentiment Analysis Engine for Amazon Reviews built for a Natural Language Processing Class
GomesNayagam/Sentiment-Analysis
Public repository.
GomesNayagam/reverb
Web-Scale Open Information Extraction
GomesNayagam/keyword-extraction-single-document
keyword extraction from single document, algorithm from this paper http://ymatsuo.com/papers/ijait04.pdf
GomesNayagam/StaticResourceVersioningTool
.net based command line utility to parse any type static files like .cshtml, html, css and update/add the build version number in the static resource url
GomesNayagam/SSDT-Boilerplate
code structure and pattern for ssdt projects .net