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Pinned

  1. Local, global, and beyond optimization for scientific machine learning (SciML)

    Julia 386 47

  2. 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

    Julia 106 22

  3. 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

    Julia 707 129

  4. Helper code for authenticating to various electronic health record (EHR) systems

    Julia

1,032 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Mon Wed Fri

Contribution activity

August 2022

Created 12 commits in 1 repository

Created a pull request in SciML/GlobalSensitivity.jl that received 11 comments

Update tutorials and switch to using docstrings

Fixes #68 and #69

+548 −739 11 comments
Opened 2 other pull requests in 1 repository
SciML/GlobalSensitivity.jl 2 merged
Reviewed 2 pull requests in 1 repository
26 contributions in private repositories Aug 1 – Aug 8

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