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GitHub / SciML / OrdinaryDiffEq.jl

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SciML%2FOrdinaryDiffEq.jl

Stars: 501
Forks: 193
Open Issues: 340

License: other
Language: Julia
Repo Size: 28.9 MB
Dependencies: 24

Created: over 7 years ago
Updated: about 11 hours ago
Last pushed: about 17 hours ago
Last synced: about 11 hours ago

Commit Stats

Commits: 5730
Authors: 155
Mean commits per author: 36.97
Development Distribution Score: 0.756
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SciML/OrdinaryDiffEq.jl

Topics: adaptive, differential-equations, differentialequations, event-handling, hacktoberfest, high-performance, julia, ode, ordinary-differential-equations, scientific-machine-learning, sciml

Funding links: https://github.com/sponsors/SciML

Files
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    Dependencies
    .github/workflows/CI.yml actions
    .github/workflows/CompatHelper.yml actions
    .github/workflows/Documentation.yml actions
    .github/workflows/Downstream.yml actions
    .github/workflows/FormatCheck.yml actions
    .github/workflows/Invalidations.yml actions
    .github/workflows/TagBot.yml actions