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juliahub.com : BridgeDiffEq
A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
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purl: pkg:julia/BridgeDiffEq
Keywords: ode, bridge, sciml, scientific-machine-learning, sde, neural-ode, neural-sde, differential-equations
License: MIT
Latest release: over 1 year ago
First release: over 4 years ago
Stars: 5 on GitHub
Forks: 7 on GitHub
Total Commits: 53
Committers: 13
Average commits per author: 4.077
Development Distribution Score (DDS): 0.679
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Funding links: https://github.com/sponsors/SciML
Last synced: 1 day ago