JuliaAI/MLJ.jl
A Julia machine learning framework
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Julia
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SciML/ModelingToolkit.jl
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
#acausal#computer-algebra#dae#dde#delay-differential-equations#differential-equations#equation-based#julia#nonlinear-programming#ode#optimization#ordinary-differential-equations#pde#scientific-machine-learning#sciml#sde#stochastic-differential-equations#symbolic#symbolic-computation#symbolic-numerics
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1 capture since 2026-05-25
Latest capture 2026-05-25 21:17
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Default branch commitsMetadata
- Created: 2018-02-27
- First commit: —
- Last pushed: 2026-05-25
- Website: https://docs.sciml.ai/ModelingToolkit/stable/
- Archived: no
- Stack detected: —
- License: NOASSERTION
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