Extension of dynamax repository to dynamical systems with continuous-time dynamics and measurements sampled at possibly irregular discrete times. Allows generic inference of dynamical systems parameters from partial noisy observations via auto-differentiable filtering, SGD, and HMC.

2 Open Issues Need Help Last updated: Aug 19, 2026

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good first issue

Extension of dynamax repository to dynamical systems with continuous-time dynamics and measurements sampled at possibly irregular discrete times. Allows generic inference of dynamical systems parameters from partial noisy observations via auto-differentiable filtering, SGD, and HMC.

Python
enhancement good first issue

Extension of dynamax repository to dynamical systems with continuous-time dynamics and measurements sampled at possibly irregular discrete times. Allows generic inference of dynamical systems parameters from partial noisy observations via auto-differentiable filtering, SGD, and HMC.

Python