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SciML Open Source Scientific Machine Learning's Projects

functionproperties.jl icon functionproperties.jl

A SciML symbolic-numeric compiler tool for investigating functions in order to perform optimizations

highdimpde.jl icon highdimpde.jl

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

ifelse.jl icon ifelse.jl

Under some conditions you may need this function

integrals.jl icon integrals.jl

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

juliatorch icon juliatorch

Convert Julia functions to PyTorch autograd functions

jumpprocesses.jl icon jumpprocesses.jl

Build 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)

labelledarrays.jl icon labelledarrays.jl

Arrays which also have a label for each element for easy scientific machine learning (SciML)

linearsolve.jl icon linearsolve.jl

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.

matlabdiffeq.jl icon matlabdiffeq.jl

Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem

modelingtoolkit.jl icon modelingtoolkit.jl

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

modelingtoolkitcourse icon modelingtoolkitcourse

A course on composable system modeling, differential-algebraic equations, acausal modeling, compilers for simulation, and building digital twins of real-world devices

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