Tensorflow framework implementing classical and advanced state-space filtering methods, including Kalman filters, particle filters, particle flow (EDH/LEDH, invertible PF-PF, kernel-embedded), and differentiable particle filtering with entropy-regularized optimal transport (Sinkhorn).
machine-learning probabilistic-programming state-space-models particle-filtering entropy-regularization stochastic-filtering
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Updated
Feb 10, 2026 - Python