Pinned Repositories
1234
AlmostBlockDiagonals.jl
Almost block diagonal matrices factorization and solving in Julia
ComplexDiff.jl
Complex Step Differentiation in Julia
OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
FractionalCalculus.jl
FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.
FractionalDiffEq.jl
Solve Fractional Differential Equations using high performance numerical methods
BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
ModelingToolkit.jl
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 and automated transformations of differential equations
OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
ErikQQY's Repositories
ErikQQY/AlmostBlockDiagonals.jl
Almost block diagonal matrices factorization and solving in Julia
ErikQQY/OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
ErikQQY/BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
ErikQQY/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
ErikQQY/DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
ErikQQY/ErikQQY.github.io
My own blog
ErikQQY/FractionalDiffEq.jl
Solve Fractional Differential Equations using high performance numerical methods
ErikQQY/ModelingToolkit.jl
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 and automated transformations of differential equations
ErikQQY/SciMLBase.jl
The Base interface of the SciML ecosystem
ErikQQY/SciMLBenchmarks.jl
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
ErikQQY/StochasticDiffEq.jl
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
ErikQQY/Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
ErikQQY/autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
ErikQQY/Catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
ErikQQY/DiffEqDevTools.jl
Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
ErikQQY/DiffEqProblemLibrary.jl
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
ErikQQY/FractionalSystems.jl
Fractional order systems toolbox in Julia.
ErikQQY/lagent
A lightweight framework for building LLM-based agents
ErikQQY/LinearSolve.jl
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
ErikQQY/MATLABDiffEq.jl
Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem
ErikQQY/MatrixEquations.jl
Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia
ErikQQY/NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
ErikQQY/pyswarms
A research toolkit for particle swarm optimization in Python
ErikQQY/RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
ErikQQY/sciml.ai
The SciML Scientific Machine Learning Software Organization Website
ErikQQY/SciMLOperators.jl
SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia
ErikQQY/SIAMFANLEquations.jl
This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia.
ErikQQY/SimpleBoundaryValueDiffEq.jl
ErikQQY/SimpleDiffEq.jl
Simple differential equation solvers in native Julia for scientific machine learning (SciML)
ErikQQY/SimpleNonlinearSolve.jl
Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.