- Munich, Bavaria, Germany
- https://potentialentfaltung-mit-daniel.de/
- daniel.karrasch
- https://danielkarrasch.substack.com/
Stars
Tools for computing (Lagrangian) coherent structures objectively in Julia
Lazy arrays and linear algebra in Julia
Provides some convenience macros for defining velocity fields via their stream function.
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 a…
Julia tools for working with some Oceanographical Data
Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.
Fast Walsh-Hadamard transforms for the Julia language
Simple package for literate programming in Julia
Fast, continuous interpolation of discrete datasets in Julia
Fast and robust 2D & 3D incircle/intriangle/etc. for Julia
Iterative algorithms for solving linear systems, eigensystems, and singular value problems
Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.
High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.
A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a v…
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
A Julia package for evaluating distances (metrics) between vectors.