Stars
Julia package for generating collocation points inside various domains, with support for variable point density. The primary goal here is to use this for solving PDEs with physics-informed machine …
The fundamental package for scientific computing with Python.
A Julia Basket of Hand-Picked Krylov Methods
An experimental code analyzer for Julia. No need for additional type annotations.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
A free and strong UCI chess engine
Powerful convenience for Julia visualizations and data analysis
♞ lichess.org: the forever free, adless and open source chess server ♞
View a Git Graph of your repository in Visual Studio Code, and easily perform Git actions from the graph.
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Automatically update function definitions in a running Julia session
An algebraic spin on grammar-of-graphics data visualization in Julia. Powered by the Makie.jl plotting ecosystem.
Julia interface to the macOS Accelerate framework
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.
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
Relax! Flux is the ML library that doesn't make you tensor
Brogue: Community Edition - a community-lead fork of the much-loved minimalist roguelike game
Forward Mode Automatic Differentiation for Julia
Reverse Mode Automatic Differentiation for Julia