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stanfordmlgroup
Natural Gradient Boosting for Probabilistic Prediction
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Natural Gradient Boosting for Probabilistic Prediction
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Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask,…
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Optax is a gradient processing and optimization library for JAX.
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A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random For…