Skip to content
View ErikQQY's full-sized avatar
🌞
🌞
  • Zhejiang University
  • China
  • 01:47 (UTC +08:00)
  • X @erikqqy

Organizations

@SciML @casbin @casdoor @SciFracX
Block or Report

Block or report ErikQQY

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned

  1. SciML/DifferentialEquations.jl SciML/DifferentialEquations.jl Public

    Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

    Julia 2.8k 220

  2. SciML/ModelingToolkit.jl SciML/ModelingToolkit.jl Public

    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 a…

    Julia 1.4k 195

  3. SciML/OrdinaryDiffEq.jl SciML/OrdinaryDiffEq.jl Public

    High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…

    Julia 508 195

  4. SciML/BoundaryValueDiffEq.jl SciML/BoundaryValueDiffEq.jl Public

    Boundary value problem (BVP) solvers for scientific machine learning (SciML)

    Julia 40 30

  5. SciFracX/FractionalDiffEq.jl SciFracX/FractionalDiffEq.jl Public

    Solve Fractional Differential Equations using high performance numerical methods

    Julia 72 11

  6. SciFracX/FractionalCalculus.jl SciFracX/FractionalCalculus.jl Public

    FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.

    Julia 30 6