Orjan Ameye's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Find attractors of dynamical systems, their basins, and continue them across parameters. Study global stability (a.k.a. non-local, or resilience). Also tipping points functionality.
A collection of basic routines for Molecular Dynamics simulations implemented in Julia
Documentation for BifurcationKit.jl
Solve the N-D time-independent Schrödinger equation for a single particle.
A Julia package for critical transitions in dynamical systems with time-dependent forcing
My settings for Hugo Academic (wowchemy)
My personal template for a one-page cv in latex
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
An interface to various automatic differentiation backends in Julia.
A documentation generator for Julia.
Generate error bars and perform binning analysis using jackknife or bootstrap resampling. Calculate average and error in quantum Monte Carlo data (or other data) and on functions of averages (such as fluctuations, skew, and kurtosis).
FisiQuímicamente / PhysiChemically / FisiQuímicament
A Julia package for solving nonlinear differential equations using the harmonic balance method.
A Julia package for solving systems of polynomials via homotopy continuation.
Julia code for the 2D Ising model
Julia for Physics and physicists
GitHub action for JuliaFormatter.jl
LTeX Language Server: LSP language server for LanguageTool :mag::heavy_check_mark: with support for LaTeX :mortar_board:, Markdown :pencil:, and others
Master Thesis
A 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
Blog posts on best practices for Julia development
Vectorized N-body code (Python)
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation