perpetual-ml/perpetual

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

GitHub repository with 714 stars and 42 forks.

Language: Rust

Topics: rust, gbdt, gbm, gradient-boosted-trees, gradient-boosting, gradient-boosting-decision-trees, kaggle, machine-learning, python, data-science

Open provider repository

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Trending score 0.03, freshness score 0.00, stars gained +0, forks gained +0.

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2026-11-02: 714 stars and 42 forks.

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