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SciMLBenchmarks.jl
PublicScientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R- Surrogate modeling and optimization for scientific machine learning (SciML)
JumpProcesses.jl
PublicBuild and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)DiffEqCallbacks.jl
PublicA library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers- LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
- 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.
PoissonRandom.jl
PublicFast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)SciMLBase.jl
PublicThe Base interface of the SciML ecosystem- Fast and automatic structural identifiability software for ODE systems
ReservoirComputing.jl
PublicReservoir computing utilities for scientific machine learning (SciML)SurrogatesBase.jl
PublicSciMLLogging.jl
PublicModelingToolkit.jl
PublicAn 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 equationsModelOrderReduction.jl
PublicHigh-level model-order reduction to automate the acceleration of large-scale simulationsMATLABDiffEq.jl
PublicFastPower.jl
PublicSciMLPublic.jl
PublicNeuralPDE.jl
PublicPhysics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulationSundials.jl
PublicJulia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled mannerDiffEqDocs.jl
PublicDocumentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystemSteadyStateDiffEq.jl
PublicSolvers for steady states in scientific machine learning (SciML)PDESystemLibrary.jl
PublicHelicopterSciML.jl
PublicHelicopter Scientific Machine Learning (SciML) Challenge ProblemBoundaryValueDiffEq.jl
PublicBoundary value problem (BVP) solvers for scientific machine learning (SciML)- SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
SymbolicLimits.jl
PublicSymbolicAnalysis.jl
Public