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 to support this collective.
+ 6

8 individuals and 2 organizations have contributed

Recurring contribution

Backer

Join us for $5.00 per month and help us sustain our activities!

Starts at

$5 USD / month

+ 3

6 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

Top financial contributors

Individuals

1

Hyunsu Cho

$3k USD since Feb 2019

2

Incognito

$210 USD since Dec 2019

3

Lee Drake

$60 USD since Aug 2019

4

Jeff Kaplan

$55 USD since Mar 2019

5

Emerson Machado

$30 USD since Aug 2019

6

Ryan Holbrook

$25 USD since Sep 2019

7

Nickalus Redell

$15 USD since Nov 2019

8

Keisuke OGAKI

$10 USD since Nov 2019

Organizations

1

NVIDIA

$3k USD since Mar 2019

2

inaccel

$35 USD since Jul 2019

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.
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!

Financial contribution to DMLC/XGBoost

Incognito | 1/7/2020 | View Details 
+$200.00USD
Hyunsu Cho | 1/6/2020 | View Details 
-$2,217.89USD

Monthly financial contribution to DMLC/XGBoost (Backer)

Emerson Machado | 1/5/2020 | View Details 
+$5.00USD

Today’s balance

$2,190.25 USD

Estimated annual budget

~ $6,446.43 USD

DMLC/XGBoost is all of us

Our contributors 15

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

Hyunsu Cho
Collective Admin

Total contributions

$3,042 USD

XGBoost maintainer

Yuan Tang
Collective Admin

XGBoost maintainer

Nan Zhu
Collective Admin

XGBoost maintainer

Tianqi Chen
Collective Admin

Original creator of XGBoost; maintainer

Rory Mitchell
Collective Admin

XGBoost maintainer

NVIDIA
Financial Contributor

Total contributions

$3,300 USD

Sponsor (monthly)

incognito
Financial Contributor

Total contributions

$210 USD

Lee Drake
Financial Contributor

Total contributions

$60 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

$55 USD

Backer

inaccel
Financial Contributor

Total contributions

$35 USD

Backer

Emerson Machado
Financial Contributor

Total contributions

$30 USD

Backer

Ryan Holbrook
Financial Contributor

Total contributions

$25 USD

Backer

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.

Help us fund the CI infrastructure! See the state of the CI system at https://xgboost-ci.net