Showing 114 open source projects for "rings-code"

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  • 1
    AbstractAlgebra.jl

    AbstractAlgebra.jl

    Generic abstract algebra functionality in pure Julia

    AbstractAlgebra is a pure Julia package for computational abstract algebra. It grew out of the Nemo project and provides all of the abstract types and generic implementations that Nemo relies on. It was originally developed by William Hart, Tommy Hofmann, Fredrik Johansson and Claus Fieker with contributions from others. Current maintainers are Claus Fieker, Tommy Hofmann and Max Horn.
    Downloads: 3 This Week
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  • 2
    Nemo.jl

    Nemo.jl

    Julia bindings for various mathematical libraries (including flint2)

    Nemo is a computer algebra package for the Julia programming language. It aims to cover commutative algebra, number theory and group theory. Julia bindings for various mathematical libraries (including flint2)
    Downloads: 0 This Week
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  • 3
    Julia VS Code

    Julia VS Code

    Julia extension for Visual Studio Code

    This VS Code extension provides support for the Julia programming language. We build on Julia’s unique combination of ease-of-use and performance. Beginners and experts can build better software more quickly, and get to a result faster. With a completely live environment, Julia for VS Code aims to take the frustration and guesswork out of programming and put the fun back in.
    Downloads: 5 This Week
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  • 4
    Pluto.jl

    Pluto.jl

    Simple reactive notebooks for Julia plutojl.org

    We are on a mission to make scientific computing more accessible and fun. Writing a notebook is not just about writing the final document, Pluto empowers the experiments and discoveries that are essential to getting there.
    Downloads: 5 This Week
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  • 5
    MacroTools.jl

    MacroTools.jl

    MacroTools provides a library of tools for working with Julia code

    MacroTools provides a library of tools for working with Julia code and expressions. This includes a powerful template-matching system and code-walking tools that let you do deep transformations of code in a few lines. See the docs for more info.
    Downloads: 0 This Week
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  • 6
    JuliaFormatter.jl

    JuliaFormatter.jl

    An opinionated code formatter for Julia

    Width-sensitive formatter for Julia code. Inspired by gofmt, refmt, black, and prettier. Built with CSTParser. Sane defaults out of the box with options to customize. Supports YAS, Blue and SciML style guides. JuliaFormatter.toml configuration file to store options. JuliaFormatter exports format, format_file, format_text, and format_md. format_md has the same API as format_text but differ in that format_md expects the text content to be a Markdown document.
    Downloads: 0 This Week
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  • 7
    PythonCall & JuliaCall

    PythonCall & JuliaCall

    Python and Julia in harmony

    Bringing Python® and Julia together in seamless harmony. Call Python code from Julia and Julia code from Python via a symmetric interface. Simple syntax, so the Python code looks like Python and the Julia code looks like Julia. Intuitive and flexible conversions between Julia and Python: anything can be converted, you are in control. Fast non-copying conversion of numeric arrays in either direction: modify Python arrays (e.g. bytes, array. array, numpy.ndarray) from Julia or Julia arrays from Python. ...
    Downloads: 0 This Week
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  • 8
    OpenAPI

    OpenAPI

    OpenAPI helper and code generator for Julia

    This is the Julia library needed along with code generated by the OpenAPI generator to help define, produce and consume OpenAPI interfaces. The goal of OpenAPI is to define a standard, language-agnostic interface to REST APIs which allows both humans and computers to discover and understand the capabilities of the service without access to source code, documentation, or through network traffic inspection.
    Downloads: 0 This Week
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  • 9
    AlphaZero.jl

    AlphaZero.jl

    A generic, simple and fast implementation of Deepmind's AlphaZero

    Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++)...
    Downloads: 25 This Week
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  • 10
    Automa.jl

    Automa.jl

    A julia code generator for regular expressions

    Automa is a regex-to-Julia compiler. By compiling regex to Julia code in the form of Expr objects, Automa provides facilities to create efficient and robust regex-based lexers, tokenizers and parsers using Julia's metaprogramming capabilities. You can view Automa as a regex engine that can insert arbitrary Julia code into its input-matching process, which will be executed when certain parts of the regex match an input.
    Downloads: 0 This Week
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  • 11
    LatticeQCD.jl

    LatticeQCD.jl

    A native Julia code for lattice QCD with dynamical fermions in 4D

    This code enables you to perform lattice QCD calculations! A native Julia code for Lattice QCD.
    Downloads: 0 This Week
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  • 12
    Coverage.jl

    Coverage.jl

    Take Julia code coverage and memory allocation results, do useful thin

    Julia can track how many times, if any, each line of your code is run. This is useful for measuring how much of your code base your tests actually test, and can reveal the parts of your code that are not tested and might be hiding a bug. You can use Coverage.jl to summarize the results of this tracking or to send them to a service like Coveralls.io or Codecov.io. Julia can track how much memory is allocated by each line of your code.
    Downloads: 0 This Week
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  • 13
    Symbolics.jl

    Symbolics.jl

    Symbolic programming for the next generation of numerical software

    ...It enables users to define, manipulate, and analyze mathematical expressions symbolically, with strong support for symbolic differentiation, simplification, equation solving, and code generation. Designed for use in scientific computing, machine learning, and engineering, Symbolics.jl integrates smoothly with Julia’s numerical ecosystem, allowing symbolic expressions to be compiled and optimized for high-speed evaluation.
    Downloads: 4 This Week
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  • 14
    Vim Codefmt

    Vim Codefmt

    Vim plugin for syntax-aware code formatting

    vim-codefmt is a syntax-aware code formatting plugin for Vim that provides a unified interface to many best-in-class formatters across languages. It exposes simple commands to format either a selected range or an entire buffer, and integrates cleanly into everyday editing workflows. The plugin ships with a registry of built-in formatters and a pluggable architecture, allowing other plugins to register additional formatters without friction.
    Downloads: 2 This Week
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  • 15
    FourierFlows.jl

    FourierFlows.jl

    Tools for building fast, hackable, pseudospectral equation solvers

    This software provides tools for partial differential equations on periodic domains using Fourier-based pseudospectral methods. A central intent of the software's design is also to provide a framework for writing new, fast solvers for new physical problems. The code is written in Julia.
    Downloads: 0 This Week
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  • 16
    Plots

    Plots

    Powerful convenience for Julia visualizations and data analysis

    ...If one backend does not support your desired features or make the right trade-offs, you can just switch to another backend with one command. No need to change your code. No need to learn a new syntax. Plots might be the last plotting package you ever learn.
    Downloads: 1 This Week
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  • 17
    Genie.jl

    Genie.jl

    The highly productive Julia web framework

    ...Genie.jl uses the familiar MVC architecture, follows industry best practices, and comes with lots of useful code generators.
    Downloads: 1 This Week
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  • 18
    oneAPI.jl

    oneAPI.jl

    Julia support for the oneAPI programming toolkit.

    Julia support for the oneAPI programming toolkit. oneAPI.jl provides support for working with the oneAPI unified programming model. The package is verified to work with the (currently) only implementation of this interface that is part of the Intel Compute Runtime, only available on Linux. This package is still under significant development, so expect bugs and missing features.
    Downloads: 1 This Week
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  • 19
    TimerOutputs.jl

    TimerOutputs.jl

    Formatted output of timed sections in Julia

    TimerOutputs.jl is a lightweight Julia package that provides a structured way to measure and report the execution time of different parts of code. It is particularly useful for performance profiling in scientific computing, allowing developers to annotate sections of code and generate readable timing summaries. TimerOutputs.jl supports nested timers and formatted output to both terminal and files, helping users easily identify bottlenecks in their programs.
    Downloads: 0 This Week
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  • 20
    Franklin.jl

    Franklin.jl

    Static site generator. Simple, customisable, fast, maths with KaTeX

    Franklin is a simple static site generator (SSG) oriented towards technical blogging (code, maths, ...), flexibility and extensibility. The base syntax is plain markdown with a few extensions such as the ability to define and use LaTeX-like commands in or outside of maths environments and the possibility to evaluate code blocks on the fly.
    Downloads: 0 This Week
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  • 21
    Flux.jl

    Flux.jl

    Relax! Flux is the ML library that doesn't make you tensor

    ...Flux makes the easy things easy while remaining fully hackable. Flux provides a single, intuitive way to define models, just like mathematical notation. Julia transparently compiles your code, optimizing and fusing kernels for the GPU, for the best performance. Existing Julia libraries are differentiable and can be incorporated directly into Flux models. Cutting-edge models such as Neural ODEs are first class, and Zygote enables overhead-free gradients. GPU kernels can be written directly in Julia via CUDA.jl. Flux is uniquely hackable and any part can be tweaked, from GPU code to custom gradients and layers.
    Downloads: 0 This Week
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  • 22
    Finch.jl

    Finch.jl

    Sparse tensors in Julia and more

    Finch is a cutting-edge Julia-to-Julia compiler specially designed for optimizing loop nests over sparse or structured multidimensional arrays. Finch empowers users to write conventional for loops which are transformed behind-the-scenes into fast sparse code.
    Downloads: 0 This Week
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  • 23
    Infiltrator.jl

    Infiltrator.jl

    No-overhead breakpoints in Julia

    This package provides the @infiltrate macro, which acts as a breakpoint with negligible runtime performance overhead. Note that you cannot access other function scopes or step into further calls. Use an actual debugger if you need that level of flexibility. Running code that ends up triggering the @infiltrate REPL mode via inline evaluation in VS Code or Juno can cause issues, so it's recommended to always use the REPL directly. When the infiltration point is hit, it will drop you into an interactive REPL session that lets you inspect local variables and the call stack as well as execute arbitrary statements in the context of the current local and global scope.
    Downloads: 0 This Week
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  • 24
    KernelAbstractions.jl

    KernelAbstractions.jl

    Heterogeneous programming in Julia

    KernelAbstractions (KA) is a package that enables you to write GPU-like kernels targetting different execution backends. KA is intended to be a minimal and performant library that explores ways to write heterogeneous code.
    Downloads: 0 This Week
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  • 25
    LinearSolve.jl

    LinearSolve.jl

    High-Performance Unified Interface for Linear Solvers in Julia

    ...It interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code. Performance is key: the current methods are made to be highly performant on scalar and statically sized small problems, with options for large-scale systems. If you run into any performance issues, please file an issue.
    Downloads: 12 This Week
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