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stochastic-filtering

Here are 2 public repositories matching this topic...

meamresh / MLCOE_Q2_PF

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

Updated Aug 20, 2026
Python

RMANOV / particle-filter-rs

Rust+PyO3 regime-switching particle filter — 19 zero-copy NumPy functions, rayon-parallelized, GIL-free sequential Monte Carlo

rust time-series robotics signal-processing numpy markov-chain particle-filter high-performance-computing bayesian-inference quantitative-finance state-estimation kalman-filter sequential-monte-carlo rayon pyo3 regime-switching stochastic-filtering

Updated Apr 20, 2026
Rust

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