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#scientific-machine-learning

Todos los repositorios del registro público que llevan esta etiqueta, procedente de sus topics de GitHub o de las palabras clave que publican sus registros de paquetes. La salud se mide con la misma metodología versionada que el resto del registro.

8 registros
Con la etiqueta «scientific-machine-learning»Ordenado por índice de salud
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80Buenoíndice de salud
SciML/Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Julia★ 83117 jul 2026
MIT17 jul 2026 · métricas 1.13.0
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78Buenoíndice de salud
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)
Julia★ 66219 jul 2026
Licencia propia19 jul 2026 · métricas 1.13.0
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77Buenoíndice de salud
SciML/SciMLBase.jl
The Base interface of the SciML ecosystem
Julia★ 17417 jul 2026
MIT17 jul 2026 · métricas 1.13.0
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75Buenoíndice de salud
SciML/RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
Julia★ 23017 jul 2026
Licencia propia17 jul 2026 · métricas 1.13.0
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75Buenoíndice de salud
SciML/ReservoirComputing.jl
Reservoir computing utilities for scientific machine learning (SciML)
Julia★ 22817 jul 2026
MIT17 jul 2026 · métricas 1.13.0
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71Buenoíndice de salud
SciML/SymbolicIndexingInterface.jl
A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages
Julia★ 1917 jul 2026
MIT17 jul 2026 · métricas 1.13.0
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64Moderadoíndice de salud
JuliaArrays/ArrayInterface.jl
Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
Julia★ 13917 jul 2026
MIT17 jul 2026 · métricas 1.13.0
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35En riesgoíndice de salud
SciML/DiffEqFlux.jl
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Julia★ 91923 jul 2026
MIT23 jul 2026 · métricas 1.13.0