DMLC/XGBoost

Open source

Scalable, Portable Gradient Boosting

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Financial contributions

Custom contribution

Donation

Make a custom one time or recurring contribution.
+ 18

16 individuals and 5 organizations have contributed

Recurring contribution

Backer

Join us for $10.00 per month and help us sustain our activities!

Starts at

$10 USD / month

+ 5

8 individuals and 1 organization have contributed

Recurring contribution

Sponsor (monthly)

Join us for $300.00 per month and help us sustain our activities!

Starts at

$300 USD / month

1 organization has contributed

Recurring contribution

Sponsor (yearly)

Join us for $3,600.00 per year and help us sustain our activities!

Starts at

$3,600 USD / year

1 organization has contributed

Top financial contributors

Individuals

1
Hyunsu Cho

$3k USD since Feb 2019

2
Incognito

$300 USD since Dec 2019

3
Lee Drake

$150 USD since Aug 2019

4
Jeff Kaplan

$100 USD since Mar 2019

5
David J Slate

$100 USD since Mar 2020

6
Ryan Holbrook

$70 USD since Sep 2019

7
Emerson Machado

$65 USD since Aug 2019

8
Nickalus Redell

$60 USD since Nov 2019

9
Keisuke OGAKI

$55 USD since Nov 2019

10
Joshua Patterson

$50 USD since Apr 2020

11
Arnesh Sahay

$30 USD since Apr 2020

12
Paul Kaefer

$30 USD since Apr 2020

13
Stephen Marsh

$25 USD since Feb 2020

14
Thomas Boser

$25 USD since Mar 2020

15
James Krach

$20 USD since Aug 2020

Organizations

1
NVIDIA

$6k USD since Mar 2019

2
Intel

$4k 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

What's new with DMLC/XGBoost

Stay up to dates with our latest 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

Budget

See how money openly circulates through DMLC/XGBoost. All contributions and all expenses are published in our transparent public ledger. Learn who is donating, how much, where is that money going, submit expenses, get reimbursed and more!

October 2020 AWS bill

by Hyunsu Cho10/5/2020

-$1,030.51USD
Paid
Receipt #25903

Monthly financial contribution to DMLC/XGBoost (Backer)

from Paul Kaefer10/1/2020

+$5.00USD
Completed

Monthly financial contribution to DMLC/XGBoost (Backer)

from Lee Drake10/1/2020

+$10.00USD
Completed

Today’s balance

$8,256.78 USD

Estimated annual budget

~ $13,045.54 USD

DMLC/XGBoost is all of us

Our contributors 27

Everyone who has supported DMLC/XGBoost. Individuals and organizations that believe in –and take ownership of– our purpose.

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

$6,000 USD

Sponsor (monthly)

Intel
Financial Contributor

Total contributions

$3,600 USD

Sponsor (yearly)

Financial Tec...
Financial Contributor

Total contributions

$3,600 USD

incognito
Financial Contributor

Total contributions

$300 USD

Lee Drake
Financial Contributor

Total contributions

$150 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

$100 USD

Backer

David J Slate
Financial Contributor

Total contributions

$100 USD

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.