Martijn Visser's repositories
wflow-artifacts
Host data in release assets for https://github.com/Deltares/Wflow.jl
arrow-julia
Official Julia implementation of Apache Arrow
bmi-example-julia
An example of wrapping a model written in Julia with a BMI
DiffEqCallbacks.jl
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
DroughtIndices.jl
Julia Package for monthly SPEI calculation
Extents.jl
A shared Extent object for Julia spatial data
HiGHS.jl
A Julia interface to the HiGHS solver
IniFile.jl
Reading and writing Windows-style INI files (writing not yet implemented).
julia
The Julia Language: A fresh approach to technical computing.
julia-buildpkg
This action builds a Julia package.
julia-vscode
Julia extension for Visual Studio Code
JuliaFormatter.jl
An opinionated code formatter for Julia. Plot twist - the opinion is your own.
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.
nu_scripts
A place to share Nushell scripts with each other
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.
PkgTemplates.jl
Create new Julia packages, the easy way
Preferences.jl
Project Preferences Package
RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
ribasim-artifacts
Host data in release assets for https://github.com/Deltares/Ribasim.jl
ribasim-feedstock
A conda-smithy repository for ribasim.
SciMLBase.jl
The Base interface of the SciML ecosystem
SymbolicUtils.jl
Expression rewriting and simplification
TimeZones.jl
IANA time zone database access for the Julia programming language
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.