Add space-ml-sim (PyTorch fault injection for orbital AI)#161
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yaitsmesj wants to merge 1 commit intobharathgs:masterfrom
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Add space-ml-sim (PyTorch fault injection for orbital AI)#161yaitsmesj wants to merge 1 commit intobharathgs:masterfrom
yaitsmesj wants to merge 1 commit intobharathgs:masterfrom
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space-ml-sim simulates AI inference on orbital satellite constellations under space radiation. It provides PyTorch bit-flip fault injection driven by radiation-derived Poisson rates, transformer-aware targeting, Triple Modular Redundancy, and checkpoint rollback for reliability studies.
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Adds space-ml-sim to the Other libraries section.
PyTorch-specific features:
TMRWrapperBroader context: Built around an orbital mechanics + radiation environment model (Walker-Delta constellations, SGP4 TLE propagation, SEU/TID rates, SAA, solar cycle). Lets PyTorch users stress-test model robustness under realistic space radiation — a use case not currently represented on this list.
Stats: 497 tests, 80%+ coverage, validated against published SEU measurements (ISS, sun-sync EO, high-LEO) and SPENVIS reference data. Open-source (AGPL-3.0), on PyPI.