CD2H gitForager

Erin LeDell

Login: ledell

Company: H2O.ai

Location: Oakland, California, USA

Bio: Machine Learning Scientist at H2O.ai

Blog: http://www.stat.berkeley.edu/~ledell

Member of

Repositories

awesome: :sunglasses: Curated list of awesome lists
awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-r-organizations: A community curated list of awesome companies/organizations that contribute open source R software/packages
bayareawomenintech: List of organizations for women in tech in the bay area
bookdown: Authoring Books with R Markdown
bookdown-demo: A minimal book example using bookdown
complimentr: says nice things about you
conformal: null
cvAUC: Computationally efficient confidence intervals for cross-validated AUC estimates in R
grayarea-deepdream: Homepage for the Gray Area Festival DeepDream Workshop
h2o: h2o = fast statistical, machine learning & math runtime for bigdata
h2o-demos: Some H2O machine learning demos.
h2oEnsemble-benchmarks: Benchmarks of the H2O Ensemble R interface (H2O 2.0).
ledell.github.io: A simple Jekyll theme for showcasing your work, emphasis on whitespace, transparency, and helvetica.
lowrank-automl: A framework for automated machine learning based on low rank structure of error across datasets.
meetup-presentations_budapest: R-Ladies Budapest - This is the collection of code, presentations and additional materials created by the Budapest R-Ladies community
Metrics: Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
MLBase.jl: A set of functions to support the development of machine learning algorithms
mlr: mlr: Machine Learning in R
mlr-tutorial: The mlr package online tutorial
rweekly.org: R Weekly
SigOptR: SigOpt's public R client
sldm4-h2o: Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
spark.rstudio.com: null
StackNet: StackNet is a computational, scalable and analytical Meta modelling framework
subsemble: subsemble R package for ensemble learning
SuperLearner: Current version of the SuperLearner R package
tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
useR-machine-learning-tutorial: useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Commits To

Repository	Most Recent Commit	# Commits
BerkeleyBiostats/berkeleybiostats.github.io	2016-08-20 04:38:49.0	6

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.