Shypd.aiThe largest open index of AI toolsssm is a research & education tool for Bayesian learning and inference in state space models. It provides code for simulating, learning, and performing inference with various state space models.
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ssm is a powerful tool designed for Bayesian learning and inference within state space models. It offers comprehensive functionalities for simulating, learning, and performing inference across a variety of state space models. The project is currently undergoing a JAX refactor, which aims to leverage JIT compilation and provide enhanced support for GPU and TPU hardware, significantly boosting performance and computational efficiency for complex scientific computing tasks. This makes ssm particularly valuable for researchers and data scientists working with dynamic systems and requiring robust statistical modeling capabilities.
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