Makoto YUI

Login: myui

Company: @treasure-data

Location: Tokyo, Japan

Bio: Research Engineer at Treasure Data, Inc.

Blog: http://myui.github.io/

Blog: http://myui.github.io/

Member of

1. The Apache Software Foundation
2. Treasure Data

Repositories

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.).

btree4j

Disk-based B+-tree written in Pure Java

build-xgboost-jvm

Repository to build xgboost4j for Linux/MacOSX using TravisCI

derby-nb

Automatically exported from code.google.com/p/derby-nb

digdag

Workload Automation System

digdag-plugin-example

An example of Digdag plugin

dockernized-digdag-server

Dockerfile to run digdag-server on Amazon ECS

dotfiles

Configuration files for UNIX tools.

gridool

Automatically exported from code.google.com/p/gridool

HiveJdbcStorageHandler

null

hivemall

Scalable machine learning library for Apache Hive/Spark/Pig

hivemall-dockerfiles

Dockerfiles for Apache Hivemall

hive-udf-backports

Backports of Hive 2.2.0 UDF functions to Hive 0.13.0 or later

incubator-hivemall

Mirror of Apache Hivemall (incubating)

jupyter-notebooks

null

ml_dataset

null

myui.github.io

null

playground

null

smile

Statistical Machine Intelligence & Learning Engine

xbird

Automatically exported from code.google.com/p/xbird

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

yarnkit

Yarnkit is a toolkit to write YARN applications

Commits To