Dependency Packages
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      ReactionMechanismSimulator.jl72The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms
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      HighDimPDE.jl71A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
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      IonSim.jl71A simple tool for simulating trapped ion systems
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      TuringGLM.jl71Bayesian Generalized Linear models using `@formula` syntax.
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      RigidBodySim.jl71Simulation and visualization of articulated rigid body systems in Julia
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      DIVAnd.jl70DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
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      QuantumCumulants.jl70Generalized mean-field equations in open quantum systems
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      ODINN.jl68Global glacier model using Universal Differential Equations for climate-glacier interactions
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      TaylorDiff.jl68Taylor-mode automatic differentiation for higher-order derivatives
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      Turkie.jl68Turing + Makie = Turkie
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      SciMLExpectations.jl65Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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      DiffEqUncertainty.jl65Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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      PETLION.jl65High-performance simulations of the Porous Electrode Theory for Li-ion batteries
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      WorldDynamics.jl65An open-source framework written in Julia for global integrated assessment models.
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      DiffEqNoiseProcess.jl63A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
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      StockFlow.jl63-
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      ModelPredictiveControl.jl63An open source model predictive control package for Julia.
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      TaylorModels.jl63Rigorous function approximation using Taylor models in Julia
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      SimpleNonlinearSolve.jl63Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
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      AtomicGraphNets.jl62Atomic graph models for molecules and crystals in Julia
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      JutulDarcy.jl62Darcy flow and reservoir simulator based on Jutul.jl
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      CellMLToolkit.jl62CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
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      DiffEqParamEstim.jl61Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
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      CALIPSO.jl61Conic Augmented Lagrangian Interior-Point SOlver
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      Conductor.jl61Choo-choo
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      DelayDiffEq.jl59Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
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      Omniscape.jl58Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.
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      DifferentiableTrajectoryOptimization.jl55Differentiable trajectory optimization in Julia.
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      RobustAndOptimalControl.jl55Robust and optimal design and analysis of linear control systems
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      FMIFlux.jl55FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.
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      DynamicalSystemsBase.jl54Definition of dynamical systems and integrators for DynamicalSystems.jl
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      Sophon.jl54Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
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      GpABC.jl54-
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      HarmonicBalance.jl53A Julia package for solving nonlinear differential equations using the harmonic balance method.
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      ReversePropagation.jl52-
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      TORA.jl51Trajectory Optimization for Robot Arms
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      JosephsonCircuits.jl50Frequency domain, multi-tone harmonic balance, simulation of scattering parameters and noise in nonlinear circuits containing Josephson junctions.
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      Preconditioners.jl50A few preconditioners for iterative solvers.
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      DeepEquilibriumNetworks.jl49Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.
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      SymbolicControlSystems.jl49C-code generation and an interface between ControlSystems.jl and SymPy.jl
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