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GitHub / SciML / SciMLBenchmarks.jl

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

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

Stars: 289
Forks: 70
Open Issues: 71

License: mit
Language: MATLAB
Repo Size: 184 MB
Dependencies: 6

Created: over 7 years ago
Updated: 20 days ago
Last pushed: 21 days ago
Last synced: 21 days ago

Commit Stats

Commits: 1710
Authors: 60
Mean commits per author: 28.5
Development Distribution Score: 0.688
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SciML/SciMLBenchmarks.jl

Topics: ai, ai-for-science, benchmark, dae, differential-equations, differentialequations, jax, julia, matlab, nerual-differential-equations, neural-ode, ode, partial-differential-equations, pde, python, pytorch, scientific-machine-learning, sciml, sde

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

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