SciML Open Source Scientific Machine Learning
Pinned
Repositories
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- DiffEqFlux.jl Public
Universal 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
- DiffEqBayes.jl Public
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
- DiffEqParamEstim.jl Public
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
- SciMLSensitivity.jl Public
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
- DiffEqParamEstim.jl-1 Public
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
- Catalyst.jl Public
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
- ModelingToolkitStandardLibrary.jl Public
A standard library of components to model the world and beyond
- RootedTrees.jl Public
A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)
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