Reference implementation of generalized orders of magnitude, as proposed in "Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation" (Heinsen and Kozachkov, 2025).
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Dec 6, 2025 - Python
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gooms
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Reference implementation of the deep RNN described in "Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation" (Heinsen and Kozachkov, 2025).
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Updated
Dec 6, 2025 - Python
Reference implementation of parallel methods for estimating Lyapunov exponents, orders-of-magnitude faster than with previous methods, as proposed in "Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation" (Heinsen and Kozachkov, 2025).
pytorch dynamical-systems lyapunov-spectrum lyapunov-exponents generalized-orders-of-magnitude gooms
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Updated
Dec 6, 2025 - Python
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