npm · PyPI
microsoft/SynapseML
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
MIT17 sept 2026 · métricas 2.10.0
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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
PyPI
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
Apache-2.012 sept 2026 · métricas 2.10.0
PyPI
elastic/eland
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Apache-2.014 sept 2026 · métricas 2.10.0
PyPI
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
MIT19 sept 2026 · métricas 2.10.0
PyPI
Kyle-J-Sun/SuperModelingFactory
Production-grade Python toolkit for credit risk modeling — scorecards, LR, LightGBM/XGBoost, WOE/IV, PSI, KS, SHAP. Source-protected wheels via Cython.
Licencia propia10 sept 2026 · métricas 2.10.0
crates.io
Mottl/lightgbm3-rs
Rust bindings for LightGBM
MIT15 sept 2026 · métricas 2.10.0
PyPI
mljar/supertree
Impress your boss with interactive Decision Tree visualization
Apache-2.010 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
RubyGems
ankane/lightgbm-ruby
High performance gradient boosting for Ruby
MIT14 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