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TU Berlin
- Berlin, Germany
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03:19
(UTC +02:00)
Highlights
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Stars
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
Interactive data visualizations and plotting in Julia
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…
The official registry of general Julia packages
Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method
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.
Julia for Machine Learning course at TU Berlin
Fast jacobian computation through sparsity exploitation and matrix coloring
A Julia implementation of choice sequence based PBT, inspired by Hypothesis
High level functions for analyzing the output of simulations
A package for efficient and high-order discretization and application of boundary and volume integral operators in complex geometries in 2D and 3D.
Yet another package for computing multidimensional non-uniform fast Fourier transforms (NUFFTs) in Julia
Help to maintain Julia code examples for Documenter and CI