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Coix: A JAX-based AI Framework Designed for Composing Probabilistic Programs and Performing Inference on Them
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In probabilistic programming, developers often face the challenge of efficiently composing and performing inference on intricate probabilistic programs. A recent release, Coix (COmbinators In jaX), has emerged as a flexible and backend-agnostic solution to address this. Coix offers a comprehensive set of program transformations known as inference combinators, enabling compositional inference with probabilistic programs. One […]
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