Axel Larsson's starred repositories

pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.2)

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SciMLSensitivity.jl

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

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crewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

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ModelingToolkitCourse

A course on composable system modeling, differential-algebraic equations, acausal modeling, compilers for simulation, and building digital twins of real-world devices

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scaleupROM

Scalable Reduced Order Model with Discontinuous Galerkin Domain Decomposition

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rhino3dm

Libraries based on OpenNURBS with a RhinoCommon style

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RobustNonlinearSolvers.jl

Testing out Nonlinear Solvers that Automatically Switch between Discrete and Continuous Variants

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Infiltrator.jl

No-overhead breakpoints in Julia

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NonlinearSolve.jl

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

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BoundaryValueDiffEq.jl

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

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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.

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pylibROM

Python interface for libROM, library for reduced order models

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Optimization.jl

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

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Bezier.jl

Bezier curves in Julia

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SciMLStyle

A style guide for stylish Julia developers

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jax_cem

The combinatorial equilibrium modeling (CEM) framework in JAX

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DiffEqBase.jl

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

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SteadyStateDiffEq.jl

Solvers for steady states in scientific machine learning (SciML)

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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.

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gantt-chart-generator

Automated LaTeX Gantt Charts using Python

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pathpy

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

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GXBeam.jl

Pure Julia Implementation of Geometrically Exact Beam Theory

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HIAD_FEA

Working repository for the paired tori FEA of NASA's HIAD. Created 1/26/2022.

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JaxSSO

A framework for form finding and shape optimization with JAX.

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