Dependency Packages
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ReducedBasisMethods.jl1Reduced Basis Methods for Particle Systems
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CounterfactualExplanations.jl75A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
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RxInfer.jl69Julia package for automated Bayesian inference on a factor graph with reactive message passing
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SymbolicRegression.jl377Distributed High-Performance symbolic regression in Julia
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ControlSystems.jl430A Control Systems Toolbox for Julia
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ModelingToolkitStandardLibrary.jl76A standard library of components to model the world and beyond
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SemanticModels.jl76A julia package for representing and manipulating model semantics
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Sophon.jl36Neural networks and neural operators for physics-informed machine learning
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QuantumWalk.jl17QuantumWalk.jl: Package for building algorithms based on quantum walks
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Pesto.jl2Phylogenetic Estimation of Shifts in the Tempo of Origination
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SymbolicNumericIntegration.jl93SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
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Quiqbox.jl24Exploring the computational power of fermionic quantum systems. Ab initio computation and basis set optimization for electronic structure problems.
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ClimaAtmos.jl43ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!
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ModelingToolkit.jl1212An 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 equations
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FundamentalsNumericalComputation.jl60Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
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UnitfulAstrodynamics.jl16Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.
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GeneralAstrodynamics.jl16Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.
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OrbitalTrajectories.jl74OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.
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DynamicalSystems.jl725Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
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OptimalBids.jl8Package for identifying optimal bids.
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TrajGWAS.jl11-
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RealNeuralNetworks.jl35A unified framework for skeletonization, morphological analysis, and connectivity analysis.
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DiffEqSensitivity.jl248A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
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SciMLSensitivity.jl248A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
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DataDrivenDiffEq.jl372Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
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OrdinaryDiffEq.jl425High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
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NeuralNetDiffEq.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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NeuralPDE.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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DiffEqFlux.jl771Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
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DifferentialEquations.jl2503Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
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MPSGE.jl4MPSGE for Julia
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TermoQuimica.jl2Paquete de equilibrio liquido/vapor
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YAXArrays.jl38Yet Another XArray-like Julia package
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ModelPredictiveControl.jl2A model predictive control package for Julia.
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RomeoDFT.jl1Romeo Occupation Matrix Energy Optimizer for DFT
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EnsembleKalmanProcesses.jl54Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
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QuantumSavory.jl8-
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MonteCarloMeasurementUncertainty.jl2A Julia package for measuring observables from a time series generated by Monte Carlo sampling methods.
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Pathfinder.jl66Preheat your MCMC
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EarthSciMLBase.jl2Basic functionality for EarthSciML system
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