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DiffEqSensitivity.jlA component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
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DiffEqCallbacks.jlA library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
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sciml.aiThe SciML Scientific Machine Learning Software Organization Website
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MultiScaleArrays.jlA framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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DiffEqGPU.jlGPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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MuladdMacro.jlThis package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem
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Bridge.jlA statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
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AutoOptimize.jlAutomatic optimization and parallelization for Scientific Machine Learning (SciML)
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Sundials.jlJulia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
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CellMLToolkit.jlCellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
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Kinetic.jlUniversal modeling and simulation of fluid dynamics upon machine learning
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SDEToolsMatlab Toolbox for the Numerical Solution of Stochastic Differential Equations
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LatentDiffEq.jlLatent Differential Equations models in Julia.
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ArrayInterface.jlDesigns for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
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