woobe/xgboost
Gradient Boosting (GBDT, GBRT or GBM) Library for large-scale and distributed machine learning, on single node, hadoop yarn and more.
Developer Profile
woobe
Discovered public repositories for woobe in the GitHub catalog.
woobe/predictr
Streamlined routines for developing and evaluating predictive models in R.
woobe/hire-an-r-programmer
list of R developers
woobe/collaborative_blog_posts
Temporary repository for collaborative blog posts
woobe/rugsmaps2
Next generation of RUGSMAPS with higher flexibility to in-cooperate new information from the R community.
woobe/scikit-learn
scikit-learn: machine learning in Python
woobe/rCharts
Interactive JS Charts from R
woobe/rugsmaps
This app is my submission to the visualization contest held by Revolution Analytics.
woobe/h2o
h2o = fast statistical, machine learning & math runtime for bigdata
woobe/rMaps
Interactive Maps from R
woobe/deepr
An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
woobe/user2014.github.io
UseR 2014 Web Pages
woobe/wc2014
World Cup 2014 Data Analysis and Predictions
woobe/rCharts_chord
Public repository.
woobe/rcharts_plugins
Learning how to create rCharts plugins
woobe/rCharts_parcoords
experiments with rCharts and d3.js parallel coordinates
woobe/wesanderson
A Wes Anderson color palette for R
woobe/t-shirt
Public repository.
woobe/useR_2014
Preparation for the R user conference 2014
woobe/rPlotter
Wrapper functions that make plotting in R a lot easier for beginners.
woobe/scholmd
Learn how to use scholarly markdown
woobe/woobe.github.io
My personal web site (jofaichow.co.uk) hosted on GitHub.
woobe/rApps
Repository for my R (Shiny) web applications.
woobe/2014_03_11_LondonR
Presentation slides for LondonR meeting.
woobe/rCrimemap
This is the next generation of CrimeMap!
woobe/bib
"Blend It Bayes!" Data Mining Toolbox
woobe/sparseFiltering
Sparse Filtering
woobe/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.
woobe/blenditbayes
Code used in my blog "Blend it like a Bayesian!"