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  1. Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

    Julia 1.4k 118

  2. 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 360 70

  3. Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

    Python 198 16

  4. Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

    R 77 5

  5. 18.337 - Parallel Computing and Scientific Machine Learning

    HTML 469 57

  6. A Deep Introduction to Julia for Data Science and Scientific Computing

    HTML 198 70

Contribution activity

September 2020

Created a pull request in FluxML/Zygote.jl that received 5 comments

Test that keyword arguments are correct

Because JuliaDiff/ChainRules.jl#257 shows that there are rules that can make it not correct.

+29 −0 5 comments

Created an issue in SciML/DiffEqOperators.jl that received 3 comments

Bounds issues

From @YingboMa 's PR, it looks like DiffEqOperators is getting hit with some bounding issues from DataStructures stuff as well (@devmotion). It wou…

3 comments

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