DMLC/XGBoost

Open source

Scalable, Portable Gradient Boosting

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+ 20
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Backer

Join us for $10.00 per month and support us

Starts at

$10 USD / month

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+ 5
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Sponsor (monthly)

Join us for $300.00 per month and support us

Starts at

$300 USD / month

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Recurring contribution

Sponsor (yearly)

Join us for $3,600.00 per year and support us

Starts at

$3,600 USD / year

Contributions by


Top financial contributors

Individuals

1
Hyunsu Cho

$3k USD since Feb 2019

2
Incognito

$360 USD since Dec 2019

3
Lee Drake

$210 USD since Aug 2019

4
Jeff Kaplan

$130 USD since Mar 2019

5
Ryan Holbrook

$100 USD since Sep 2019

6
David J Slate

$100 USD since Mar 2020

7
Keisuke OGAKI

$85 USD since Nov 2019

8
Nickalus Redell

$80 USD since Nov 2019

9
Emerson Machado

$65 USD since Aug 2019

10
Arnesh Sahay

$60 USD since Apr 2020

Organizations

1
NVIDIA

$8k USD since Mar 2019

2
Intel

$7k USD since Feb 2020

3
Financial Technology company

$4k USD since May 2020

4
inaccel

$50 USD since Jul 2019

5
Triplebyte

$50 USD since Feb 2020

6
Salesforce

$5 USD since Jan 2020

DMLC/XGBoost is all of us

Our contributors 29

Thank you for supporting DMLC/XGBoost.

Hyunsu Cho

Admin

Total contributions

$3,042 USD

XGBoost maintainer

Yuan Tang

Admin

XGBoost maintainer

Nan Zhu

Admin

XGBoost maintainer

Tianqi Chen

Admin

Original creator of XGBoost; maintainer

Rory Mitchell

Admin

XGBoost maintainer

NVIDIA

Financial Contributor

Total contributions

$7,800 USD

Sponsor (monthly)

Intel

Financial Contributor

Total contributions

$7,200 USD

Sponsor (yearly)

Financial Tec...

Financial Contributor

Total contributions

$3,600 USD

incognito

Financial Contributor

Total contributions

$360 USD

Lee Drake

Financial Contributor

Total contributions

$210 USD

XGBoost has become central to my business, I am thrilled to help support them in their continued development of this excellent software.

Jeff Kaplan

Financial Contributor

Total contributions

$130 USD

Backer

Ryan Holbrook

Financial Contributor

Total contributions

$100 USD

Backer

Budget


Transparent and open finances.

March 2021 AWS Bill

by Hyunsu ChoApril 08, 2021

-$1,013.74 USD
Paid
Receipt #38091

Monthly financial contribution to DMLC/XGBoost (Sponsor (...

from NVIDIA

+$300.00USD
Completed

Monthly financial contribution to DMLC/XGBoost (Backer)

from Keisuke OGAKI

+$5.00USD
Completed
$
Today’s balance

$5,801.19 USD

Total raised

$20,095.41 USD

Total disbursed

$14,294.22 USD

Estimated annual budget

$10,066.35 USD

Connect


Let’s get the ball rolling!

News from DMLC/XGBoost

Updates on our activities and progress.

End-of-year CI budget report

First of all, thanks all who have contributed to help XGBoost development going. I'd like to post the end-of-year summary of how your donation has been used.I had estimated the cloud cost to be 1000 USD/month, but thanks to active contri...
Read more
Published on December 31, 2019 by Hyunsu Cho

About


DMLC/XGBoost is one of the most popular machine learning library for gradient boosting. It has grown from a research project incubated in academia to the most widely used gradient boosting framework in production environment. On one side, with the growth of volume and variety of data in the production environment, users are putting accordingly growing expectation to XGBoost in terms of more functions, scalability and robustness. On the other side, as an open source project which develops in a fast pace, XGBoost has been receiving contributions from many individuals and organizations around the world. Given the high expectation from the users and the increasing channels of contribution to the project, delivering the high quality software presents a challenge to the project maintainers.

A robust and efficient continuous integration (CI) infrastructure is one of the most critical solutions to address the above challenge. A CI service will monitor a open-source repository and run a suite of integration tests for every incoming contribution. This way, the CI ensures that every proposed change in the codebase is compatible with existing functionalities. Furthermore, XGBoost can enable more thorough tests with a powerful CI infrastructure to cover cases which are closer to the production environment.


Our team

Hyunsu Cho

Admin

XGBoost maintainer

Yuan Tang

Admin

XGBoost maintainer

Nan Zhu

Admin

XGBoost maintainer

Tianqi Chen

Admin

Original creator of XGBoost; maintainer

Rory Mitchell

Admin

XGBoost maintainer