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An open-source Python library for probabilistic time series modeling with both frequentist and Bayesian inference methods.
A Python library for probabilistic state space modeling and inference, built on JAX.
A JAX-based framework for approximate inference in Markov Gaussian processes using iterated Kalman smoothing.
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