Mathusuthan Kannan's repositories
moocies
My MOOC works
DataScienceChallenge
Cloudera Data science summer challenge 2014
mathesia
Adventures in the Mathland
computo
Random stuff in Computational Theory
probabilista
Problems & Solutions on Probability & Statistics
test.fm
Testing framework for Collaborative Filtering
massive-data-mining
Code , Notes and Algorithms for the Mining of Massive Datasets book
clothes_parsing
Code for the paper 'A High Performance CRF Model for Clothes Parsing'.
sklearn_pycon2015
Materials for my Pycon 2015 scikit-learn tutorial.
bayesopt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
CS224d
CS224d : Deep Learning for NLP - Notes & Homework
flink
Mirror of Apache Flink
dl-machine
Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning
R
R code for various models and vizualisations
bigdata
Big Data Projects
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
step-git-push
deploy github pages with wercker
exercises-in-programming-style
Comprehensive collection of programming styles using a simple computational task, term frequency
LSTM---Stock-prediction
A long term short term memory recurrent neural network to predict stock data time series
MOE
A global, black box optimization engine for real world metric optimization.
ml-ease
ADMM based large scale logistic regression
BanditsBook
Code for book on Multi-Armed Bandit Algorithms