Susan Eraly's repositories
2015
Public material for CS109
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
data-science-primer
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
deep-learning-models
Keras code and weights files for popular deep learning models.
deeplearning4j
Deep Learning for Java, Scala & Clojure on Hadoop, Spark
deeplearning4j-docs
Documentation for Deeplearning4j - Deep Learning for the JVM, Java & Scala
deeplearning4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
Interview_Problems
Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust resource for example interview questions and solutions is at https://github.com/mmihaljevic/algortihms_challenges.
lasagne-googlenet
Implementation of GoogLeNet with lasagne and theano
nd4j
Fast, Scientific and Numerical Computing for the JVM (NDArrays)
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 ;)
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research