SciML Open Source Scientific Machine Learning
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- Arrays with arbitrarily nested named components.
- Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)
- The SciML Scientific Machine Learning Software Organization Website
- Boundary value problem (BVP) solvers for scientific machine learning (SciML)
- Reservoir computing utilities for scientific machine learning (SciML)
- 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.
- Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
- Global documentation for the Julia SciML Scientific Machine Learning Organization
- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
- Surrogate modeling and optimization for scientific machine learning (SciML)
CellMLToolkit.jl
PublicCellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.PreallocationTools.jl
PublicTools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codesCatalyst.jl
PublicChemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.- An 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
DiffEqFlux.jl
PublicPre-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- A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
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)DataInterpolations.jl
PublicCommonSolve.jl
PublicA common solve function for scientific machine learning (SciML) and beyond- A standard library of components to model the world and beyond
SciMLSensitivity.jl
PublicA 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.DataDrivenDiffEq.jl
PublicData driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization- A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages
DiffEqGPU.jl
PublicGPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystemSciMLBase.jl
PublicThe Base interface of the SciML ecosystem