Pinned Repositories
deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
2015
Public material for CS109
art-of-node
a short introduction to node.js
awesome-deep-learning-papers
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.).
chart-art
content
Official content for Harvard CS109
Coursera_DS03_assignment
Coursera_DS_ML
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/
eraly's Repositories
eraly/2015
Public material for CS109
eraly/awesome-deep-learning-papers
eraly/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.).
eraly/chart-art
eraly/content
Official content for Harvard CS109
eraly/Coursera_DS03_assignment
eraly/Coursera_DS_ML
eraly/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/
eraly/datasciencecoursera
eraly/deep-learning-models
Keras code and weights files for popular deep learning models.
eraly/deeplearning4j
Deep Learning for Java, Scala & Clojure on Hadoop, Spark
eraly/deeplearning4j-docs
Documentation for Deeplearning4j - Deep Learning for the JVM, Java & Scala
eraly/deeplearning4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
eraly/dl4j-python-examples
eraly/dl4j-python-executable
eraly/dl4j-RNNs
eraly/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
eraly/fasttextex
eraly/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.
eraly/keras-test-import
eraly/lasagne-googlenet
Implementation of GoogLeNet with lasagne and theano
eraly/libnd4j
eraly/nd4j
Fast, Scientific and Numerical Computing for the JVM (NDArrays)
eraly/parse_ptx
eraly/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 ;)
eraly/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
eraly/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
eraly/runtimes_3p8_3p9
eraly/vislab
Set of modules and datasets for visual recognition.
eraly/wiki_art