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A fast, modular Bayesian inference library for JAX, providing composable samplers for CPU and GPU.
A Python library providing a comprehensive collection of graph sampling algorithms for NetworkX and NetworKit.
A Python library for class-imbalanced ensemble learning with 30+ algorithms, built on scikit-learn.
A JAX-powered probabilistic programming library focused on performant sampling methods for Bayesian inference on CPU, GPU, and TPU.
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