Fast and simple fluid simulator in Julia
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Fast and simple fluid simulator in Julia
Reusable compiler infrastructure for Julia GPU backends.
The Julia Programming Language
MPI wrappers for Julia
Save and load data in the HDF5 file format from Julia
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
Julia implementation of Data structures
A discrete event process oriented simulation framework written in Julia. Formerly named SimJulia!
A Julia package for fitting (statistical) mixed-effects models
Root finding functions for Julia
Forward Mode Automatic Differentiation for Julia
@memoize macro for Julia
A Julia interface to the Ipopt nonlinear solver
Black-box optimization for Julia
Take Julia code coverage and memory allocation results, do useful things with them
Linear Operators for Julia
Evolutionary & genetic algorithms for Julia
Compatibility across Julia versions
Plotting for Julia based on GR, a framework for visualisation applications
A Julia Basket of Hand-Picked Krylov Methods
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Julia wrappers for the PETSc library
Finite element toolbox for Julia
High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.
Package to make C++ libraries available in Julia
Query almost anything in julia
A documentation generator for Julia.
Explicit SIMD vector operations for Julia
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Reusable array functionality for Julia's various GPU backends.