kesslerlib/kessler

Combines simulation-based inference and Bayesian deep learning to assess collision risk and automate conjunction management for satellite constellations. Integrates probabilistic programming for uncertainty quantification in orbital dynamics, enabling risk assessment under observational constraints and space debris population dynamics. Available via conda-forge and pip with Python packaging for seamless integration into space operations workflows.

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