Discover woobe/deepr Open Source project by Jo-fai Chow (@woobe)

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Language
R
License
MIT License
Created over 10 years ago
Updated over 9 years ago

woobe

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An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.

rPlotter

Wrapper functions that make plotting in R a lot easier for beginners.

blenditbayes

Code used in my blog "Blend it like a Bayesian!"

h2o_tutorials

Slides and code examples for H2O tutorials at various events

HTML

rCrimemap

This is the next generation of CrimeMap!

useR2019_h2o_tutorial

useR! 2019 Tutorial: Automatic and Explainable Machine Learning with H2O in R (http://www.user2019.fr/tutorials/)

HTML

footballytics

My Shiny App for Football (Soccer)

rApps

Repository for my R (Shiny) web applications.

rugsmaps

This app is my submission to the visualization contest held by Revolution Analytics.

wc2014

World Cup 2014 Data Analysis and Predictions

odsc_h2o_machine_learning

Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017

Jupyter Notebook

lime_water

Automatic and Interpretable Machine Learning with H2O and LIME

HTML

eRum_2018

Materials for H2O workshop at eRum 2018 (http://2018.erum.io/)

moneyball

Moneyball Demo (Public Version)

euro2016

UEFA Euro 2016 Data, Models and Predictions

rugsmaps2

Next generation of RUGSMAPS with higher flexibility to in-cooperate new information from the R community.

h2o_training_2017_10

H2O Training Materials

numerati

Dashboard for Numerai Tournament

HTML

H2O_London_Workshop

2014_03_11_LondonR

Presentation slides for LondonR meeting.

odsc_h2o_deep_learning

Materials for ODSC Masterclass Summit H2O Deep Learning Tutorials

HTML

h2o_workshop_mlprague_2021

ML Prague 2021 Workshop - Automatic and Explainable Machine Learning with H2O

ODSC_Europe_2022_H2O_Workshop

Admissible AutoML – Efficient, Fair, and Interpretable Machine Learning with H2O

mobile_customer_data

Monthly customer data from China Mobile, China Unicom, and China Telecom.

predictr

Streamlined routines for developing and evaluating predictive models in R.

earl2018_moneyball

Moneyball Presentation at EARL 2018 (https://earlconf.com/2018/london/)

ODSC_Europe_2021_H2O_Workshop

dataviz_collection

odsc2018_h2o_workshop

H2O AutoML and LIME workshop for ODSC Europe 2018 (https://odsc.com/london)

h2o_training_2018_02

H2O Training Materials

nlp_example

HTML

credit_card_demo

A simple machine learning example using credit card default payment data

h2o_demo_for_ibm_dsx

H2O Demo for IBM Fast Track Your Data — Live From Munich

HTML

se_bootcamp

HTML

credit_card_example

HTML

woobe/deepr

woobe

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