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Top 5 C++ gradient-boosting Projects
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LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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yggdrasil-decision-forests
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Project mention: Why do tree-based models still outperform deep learning on tabular data? (2022) | news.ycombinator.com | 2024-03-05Is it this library https://github.com/google/yggdrasil-decision-forests ?
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
C++ gradient-boosting discussion
C++ gradient-boosting related posts
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Conselhos para embedded
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[D] Alternatives to the shap explainability package
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[N] Google confirms DeepMind Health Streams project has been killed off
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[Discussion] XGBoost is the way.
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[D] Generalized Additive Models… with trees?
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Machine Learning with Medical Data (unbalanced dataset)
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Index
What are some of the best open-source gradient-boosting projects in C++? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | LightGBM | 16,762 |
| 2 | interpret | 6,315 |
| 3 | yggdrasil-decision-forests | 503 |
| 4 | fairgbm | 103 |
| 5 | decision-tree-classifier | 2 |
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