jipolanco Goto Github PK
Name: Juan Ignacio Polanco
Type: User
Bio: CNRS researcher
Location: Grenoble, France
Name: Juan Ignacio Polanco
Type: User
Bio: CNRS researcher
Location: Grenoble, France
Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
A Julia package for describing array layouts and more general fast linear algebra
A Julia package for representing banded matrices
A collection of B-spline tools in Julia
Bring Your Own Stack
Tools for computing velocity circulation statistics from periodic 3D Navier-Stokes and Gross-Pitaevskii fields
A Julia package for computational (bio)mechanics and computational design
Config files for neovim (and vim)
Seamlessly navigate Emacs and tmux splits
An incremental compiler for LaTeX Beamer presentations
Julia bindings to the FFTW library for fast Fourier transforms
Julia interface to the nonuniform FFT library FINUFFT
The official registry of general Julia packages
Saving and loading data in the HDF5 file format
Yet another C++11 header-only HDF5 wrapper
The Julia Programming Language
An implementation of the Microsoft Language Server Protocol for the Julia language.
Lazy arrays and linear algebra in Julia
A latex math mode engine in pure Julia.
Metadata for registered Julia packages.
MPI wrappers for Julia
Yet another package for computing multidimensional non-uniform fast Fourier transforms (NUFFTs) in Julia
P3DFFT++ (a.k.a. P3DFFT v. 3) is a new generation of P3DFFT library that aims to provide a comprehensive framework for simulating multiscale phenomena. It takes the essence of P3DFFT further by creating an extensible, modular structure uniquely adaptable to a greater range of use cases. The users can specify in detail what kind of data layout they would like to use, both in terms of local memory ordering and the processor layout. Just like P3DFFT, P3DFFT++ is a distributed software package, using MPI as the primary method for interprocessor commubnication. It supports 1D, 2D and 3D (to come soon) domain decomposition schemes. As P3DFFT, P3DFFT++ also relies on lower-level libraries, for example FFTW to perform optimized 1D FFTs. Unlike P3DFFT, which was written in Fortran90, P3DFFT++ is written in C++. Interfaces are provided for C and Fortran. To learn about using the code the user is encouraged to study example programs in C++, C and FORTRAN subdirectories. Please e-mail Dmitry Pekurovsky ([email protected]) for any questions or suggestions. Software contributions are welcome, assuming they follow the main ideas of the framework.
Distributed Julia arrays using the MPI protocol
Fast Fourier transforms of MPI-distributed Julia arrays
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
Julia implementations for different rotation parameterizations
Fast dimension permutations of Julia arrays
Efficient implementation of struct arrays in Julia
Formatted output of timed sections in Julia
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.