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ModelingToolkit.jl
High-performance symbolic-numeric modeling framework for scientific machine learning. Automatically generates fast functions for model compo...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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High-performance symbolic-numeric modeling framework for scientific machine learning. Automatically generates fast functions for model components like Jacobians and Hessians with automatic sparsification and parallelization. MIT licensed.
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Teams evaluating AI models, assistants and generative workflows — free to start, source available on GitHub.
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Catalogue data checked Oct 27, 2026.
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ModelingToolkit.jl
GitHub / SciML/ModelingToolkit.jl
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