Showing 7 of 7 projects
HyperLearn provides 2-2000x faster machine learning algorithms with 50% less memory usage, optimized for all hardware.
A Python library for exploratory analysis, diagnostics, and visualization of Bayesian models.
A comprehensive Julia package implementing a wide range of statistical hypothesis tests for data analysis.
A differentiable cosmology library built with JAX for automatic differentiation of cosmological calculations.
A Clojure library for machine learning and statistical inference designed for production deployment and composable algorithms.
A robust Rust library for regression analysis with sklearn-style estimators and full statistical inference.
A Julia wrapper for the Smile C++ engine, providing access to Bayesian networks and influence diagrams for probabilistic modeling.
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