Lightgbm
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A fast, distributed gradient boosting framework based on decision tree algorithms for ranking, classification, and other machine learning tasks.
A fast, distributed gradient boosting framework based on decision tree algorithms for ranking, classification, and other ML tasks.
An open-source, low-code Python library that automates end-to-end machine learning workflows.
An open-source library for building massively scalable machine learning pipelines on Apache Spark.
Transpile trained machine learning models into native code (Java, C, Python, Go, etc.) with zero dependencies.
A toolkit for distributed machine learning featuring parameter server framework, topic modeling, gradient boosting, and word embedding.
Automated machine learning library for production and analytics, handling feature engineering, model selection, and hyperparameter optimization.
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