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  1. A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automa…

    Julia 908 116

  2. High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

    Julia 292 118

  3. Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

    Julia 164 40

Contribution activity

December 2021

Created a pull request in JuliaDiff/SparseDiffTools.jl that received 2 comments

Better inference

Before: julia> itrigs = inference_triggers(tinf) 6-element Vector{InferenceTrigger}: Inference triggered to call CommonSolve.solve(::ODEProblem{Vec…

+7 −3 2 comments
Opened 3 other pull requests in 1 repository
SciML/ModelingToolkit.jl 3 merged
Reviewed 10 pull requests in 6 repositories
SciML/OrdinaryDiffEq.jl 4 pull requests
SciML/SciMLBase.jl 2 pull requests
SciML/DiffEqBase.jl 1 pull request
JuliaDiff/SparseDiffTools.jl 1 pull request
SciML/LinearSolve.jl 1 pull request
SciML/ModelingToolkit.jl 1 pull request
Opened 1 issue in 1 repository
SciML/ModelingToolkit.jl 1 open
28 contributions in private repositories Dec 2 – Dec 23

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