aws / sagemaker-xgboost-container
This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
Why this job: works in the areas we cover, but does not say which job it does
What it does
All future XGBoost version upgrades and container releases are tracked in the AWS Deep Learning Containers repository under docker/xgboost .
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 34 days ago
- Stars
- 144
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- v3.0-5
- Released 10 months ago
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- Off
- Issues switched off
- Pull requests
- 294 merged
- 30 waiting
- Releases
- 8
- 1 in the last year
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| dmlc / xgboost | 28,968 | yesterday | Apache-2.0 | No downloads |
| awslabs / gluonts | 5,260 | 30 days ago | Apache-2.0 | No downloads |
| szilard / GBM-perf | 225 | 8 months ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 98%
- Java 2%
Topics
- aws
- distributed-training
- gbm
- inference
- machine-learning
- python
- sagemaker
- training
- xgboost
Project record
- JobOther AI tools
- StatusListed
- Commits205
- Forks97
- Watching24
- Stars in 28 days0
- CreatedMay 20, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026