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DMLC/XGBoost

Scalable, Portable Gradient Boosting

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$10 USD / month

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+ 11
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Join us for $300.00 per month and support us

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$300 USD / month

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Sponsor (yearly)

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

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$3,600 USD / year

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Give an one-time donation with an amount of your choice.

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$25 USD

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Top financial contributors

Organizations

1
NVIDIA

$25,200 USD since Mar 2019

2
Intel Corporation

$18,000 USD since Jan 2024

3
Koffie Labs, Inc

$6,300 USD since May 2021

4
Financial Technology company

$3,600 USD since May 2020

5
Comet

$300 USD since May 2024

6
Upstart

$100 USD since Oct 2021

7
Trooper.AI

$55 USD since Dec 2023

8
inaccel

$50 USD since Jul 2019

9
Triplebyte

$50 USD since Feb 2020

10
Salesforce

$5 USD since Jan 2020

Individuals

1
Hyunsu Cho

$3,041.91 USD since Feb 2019

2
Bojan Tunguz

$1,425.03 USD since Apr 2022

3
Incognito

$740 USD since Dec 2019

4
Lee Drake

$590 USD since Aug 2019

5
Arnesh Sahay

$430 USD since Apr 2020

6
Jeff Kaplan

$320 USD since Mar 2019

7
Ryan Holbrook

$290 USD since Sep 2019

8
Keisuke OGAKI

$275 USD since Nov 2019

9
Paul Kaefer

$250 USD since Apr 2020

10
Otto von Sperling

$130 USD since Aug 2022

DMLC/XGBoost is all of us

Our contributors 40

Thank you for supporting DMLC/XGBoost.

Hyunsu Cho

Admin

$3,042 USD

Nan Zhu

Admin

NVIDIA

Sponsor (monthly)

$25,200 USD

Intel Corpora...

Sponsor (yearly)

$18,000 USD

Koffie Labs, Inc

Sponsor (monthly)

$6,300 USD

Bojan Tunguz

One-off contribution

$1,425 USD

XGBoost is all you need

incognito

$740 USD

Lee Drake

Backer

$590 USD

XGBoost has become central to my business, I am...

Budget


Transparent and open finances.

+$10.00USD
Completed
Contribution #706170
+$50.00USD
Completed
Contribution #536668
+$10.00USD
Completed
Contribution #49591
$
Today’s balance

$3,485.45 USD

Total raised

$53,780.80 USD

Total disbursed

$50,295.35 USD

Estimated annual budget

$15,890.00 USD

Connect


Let’s get the ball rolling!

News from DMLC/XGBoost

Updates on our activities and progress.

Thanks to your generous support, we are on sound footing

Thanks to your generous support, we are on sound footing financially. Roughly speaking, we are projected to receive 1143.8 USD/month and spend 848.75 USD/month, running a small surplus. See more details at...
Read more
Published on January 3, 2023 by Hyunsu Cho

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.


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