PyPI · npm
shap/shap
A game theoretic approach to explain the output of any machine learning model.
MIT16 sept 2026 · métricas 2.10.0
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#gradient-boosting
Todos los repositorios del registro público que llevan esta etiqueta, procedente de sus topics de GitHub o de las palabras clave que publican sus registros de paquetes. La salud se mide con la misma metodología versionada que el resto del registro.
10 registros
npm
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Apache-2.017 sept 2026 · métricas 2.10.0
PyPI · npm
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
MIT17 sept 2026 · métricas 2.10.0
PyPI · crates.io · npm
TheCulliganMan/CartoBoost
CartoBoost geospatial and temoporal boosting
MIT5 sept 2026 · métricas 2.10.0
PyPI
daniel-m-campos/bonsai
El repositorio no publica descripción.
MIT16 sept 2026 · métricas 2.10.0
crates.io
Mottl/lightgbm3-rs
Rust bindings for LightGBM
MIT15 sept 2026 · métricas 2.10.0
PyPI
RektPunk/MQBoost
[Mach. Learn. 2026] Official implementation of "Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework"
MIT14 sept 2026 · métricas 2.10.0
PyPI
tuamah/kanboost
Gradient Boosting library with KAN (Kolmogorov-Arnold Network) learners
MIT11 sept 2026 · métricas 2.10.0
PyPI
mojolearn/mojolearn
GPU machine learning in Mojo that supports bitwise identical inference and training on Apple Metal, NVIDIA CUDA and AMD HIP.
Apache-2.027 sept 2026 · métricas 2.10.0
PyPI
lightgbm-org/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.
MIT16 sept 2026 · métricas 2.10.0