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Formatted output of timed sections in Julia
A Julia package to perform Bifurcation Analysis
A curated list of resources for using LLMs to develop more competitive grant applications.
Welcome to the Physics-based Deep Learning Book (v0.2)
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…
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A course on composable system modeling, differential-algebraic equations, acausal modeling, compilers for simulation, and building digital twins of real-world devices
Scalable Reduced Order Model with Discontinuous Galerkin Domain Decomposition
Libraries based on OpenNURBS with a RhinoCommon style
Testing out Nonlinear Solvers that Automatically Switch between Discrete and Continuous Variants
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
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.
Python interface for libROM, library for reduced order models
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 i…
The combinatorial equilibrium modeling (CEM) framework in JAX
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Solvers for steady states in scientific machine learning (SciML)
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
Automated LaTeX Gantt Charts using Python
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
Pure Julia Implementation of Geometrically Exact Beam Theory
Working repository for the paired tori FEA of NASA's HIAD. Created 1/26/2022.