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Top 7.6% dependent packages on juliahub.com
Top 6.0% forks on juliahub.com
juliahub.com : JumpProcesses
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
Registry
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Source
- Homepage
- Documentation
- JSON
purl: pkg:julia/JumpProcesses
Keywords: scientific-ml, sciml, neural-differential-equations, neural-ode, scientific-machine-learning, stochastic-jump-equations, sde, ode, hybrid-differential-equation, gillespie, differential-equations, stochastic, jump-diffusion, ssa, scientific-ai
License: MIT
Latest release: 2 months ago
First release: almost 2 years ago
Dependent packages: 9
Stars: 134 on GitHub
Forks: 34 on GitHub
Total Commits: 1113
Committers: 41
Average commits per author: 27.146
Development Distribution Score (DDS): 0.663
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: 1 day ago