
GPBoost
by fabsig (personal account)
Tree-Boosting, Gaussian Processes, and Mixed-Effects Models (description from the project’s GitHub page)
Repository facts
- Stars
- 702
- Forks
- 56
- Open issues and pull requests
- 7
- Primary language
- C++
- License
- Other license
- Owner
- fabsig · Personal account
- Created
- Apr 3, 2020
- Last push
- Oct 17, 2026
Topics
Add this badge to your README
Shows this repository’s rank in AI on GitHub and links back to this page. Ranks are by stars and change when the list is refreshed. The badge is not an endorsement or a rating. About the badges
Markdown (for a README)
[](https://unitedstatesofamericasuperintelligence.com/github/fabsig--gpboost/)
HTML
<a href="https://unitedstatesofamericasuperintelligence.com/github/fabsig--gpboost/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/github/fabsig--gpboost.svg" alt="Ranked #7,723 in AI on GitHub" height="20"></a>
Related projects
Projects that share this one’s GitHub topics.
Rank 2,599: deepnote/deepnote
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, the…
3,019 starsTypeScriptApache-2.0Last push Oct 16, 2026
Rank 1,083: h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM wi…
7,511 starsJupyter NotebookApache-2.0Last push Oct 18, 2026
Rank 2,211: ml-tooling/ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
3,548 starsJupyter NotebookApache-2.0Last push Jul 26, 2024
Rank 3,808: szilard/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top m…
1,897 starsRMITLast push Sep 16, 2022
Rank 5,807: mlr-org/mlr3
mlr3: Machine Learning in R - next generation
1,082 starsRLGPL-3.0Last push Sep 28, 2026
Rank 7,034: erikaduan/r_tips
R programming tips for data cleaning, data visualisation, statistical modelling and machine learning
809 starsRCC-BY-SA-4.0Last push Jul 16, 2025