Showing 45 open source projects for "create-react-app"

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  • 1
    MATLAB.jl

    MATLAB.jl

    Calling MATLAB in Julia through MATLAB Engine

    The MATLAB.jl package provides an interface for using MATLAB® from Julia using the MATLAB C api. In other words, this package allows users to call MATLAB functions within Julia, thus making it easy to interoperate with MATLAB from the Julia language. You cannot use MATLAB.jl without having purchased and installed a copy of MATLAB® from MathWorks. This package is available free of charge and in no way replaces or alters any functionality of MathWorks's MATLAB product.
    Downloads: 13 This Week
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  • 2
    Dash for Julia

    Dash for Julia

    A Julia interface to the Dash ecosystem for creating analytic web apps

    Create beautiful, analytic applications in Julia. Built on top of Plotly.js, React and HTTP.jl, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Julia code.
    Downloads: 0 This Week
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  • 3
    Registrator.jl

    Registrator.jl

    Julia package registration bot

    Registrator is a GitHub app that automates the creation of registration pull requests for your Julia packages to the General registry.
    Downloads: 0 This Week
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  • 4
    PackageCompiler

    PackageCompiler

    Compile your Julia Package

    Julia is, in general, a "just-barely-ahead-of-time" compiled language. When you call a function for the first time, Julia compiles it for precisely the types of arguments given. This can take some time. All subsequent calls within that same session use this fast compiled function, but if you restart Julia you lose all the compiled work. PackageCompiler allows you to do this work upfront — further ahead of time — and store the results for a lower latency startup. You can save loaded packages...
    Downloads: 0 This Week
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  • 5
    TerminalUserInterfaces.jl

    TerminalUserInterfaces.jl

    Terminal User Interfaces in Julia

    Create TerminalUserInterfaces in Julia.
    Downloads: 0 This Week
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  • 6
    Paper2GUI

    Paper2GUI

    Convert AI papers to GUI

    Convert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术 Paper2GUI: An AI desktop APP toolbox for ordinary people. It can be used immediately without installation. It already supports 40+ AI models, covering AI painting, speech synthesis, video frame complementing, video super-resolution, object detection, and image stylization. , OCR recognition and other fields. Support Windows, Mac, Linux systems. Paper2GUI: 一款面向普通人的 AI 桌面 APP 工具箱,免安装即开即用,已支持 40+AI 模型,内容涵盖 AI 绘画、语音合成、视频补帧、视频超分、目标检测、图片风格化、OCR 识别等领域。...
    Downloads: 1 This Week
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  • 7
    LibPQ.jl

    LibPQ.jl

    A Julia wrapper for libpq

    LibPQ.jl is a Julia wrapper for the PostgreSQL libpq C library.
    Downloads: 0 This Week
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  • 8
    Agents.jl

    Agents.jl

    Agent-based modeling framework in Julia

    Agents.jl is a pure Julia framework for agent-based modeling (ABM): a computational simulation methodology where autonomous agents react to their environment (including other agents) given a predefined set of rules. The simplicity of Agents.jl is due to the intuitive space-agnostic modeling approach we have implemented: agent actions are specified using generically named functions (such as "move agent" or "find nearby agents") that do not depend on the actual space the agents exist in, nor on the properties of the agents themselves. ...
    Downloads: 0 This Week
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  • 9
    Winston.jl

    Winston.jl

    2D plotting for Julia

    2D plotting for Julia. Winston offers an easy-to-use plot command to create figures without any fuss. After Winston is loaded by typing using Winston, the most basic plot can be created.
    Downloads: 0 This Week
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    Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud

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  • 10
    InferOpt.jl

    InferOpt.jl

    Combinatorial optimization layers for machine learning pipelines

    InferOpt.jl is a toolbox for using combinatorial optimization algorithms within machine learning pipelines. It allows you to create differentiable layers from optimization oracles that do not have meaningful derivatives. Typical examples include mixed integer linear programs or graph algorithms.
    Downloads: 0 This Week
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  • 11
    CommonMark.jl

    CommonMark.jl

    A CommonMark-compliant parser for Julia

    A CommonMark-compliant parser for Julia.
    Downloads: 3 This Week
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  • 12
    Comonicon

    Comonicon

    Your best CLI generator in JuliaLang

    Roger's magic book for command line interfaces.
    Downloads: 1 This Week
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  • 13
    NCDatasets.jl

    NCDatasets.jl

    Load and create NetCDF files in Julia

    NCDatasets allows one to read and create netCDF files. NetCDF data set and attribute list behave like Julia dictionaries and variables like Julia arrays. This package implements the CommonDataModel.jl interface, which means that the datasets can be accessed in the same way as GRIB files opened with GRIBDatasets.jl.
    Downloads: 0 This Week
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  • 14
    Interpolations.jl

    Interpolations.jl

    Fast, continuous interpolation of discrete datasets in Julia

    This package implements a variety of interpolation schemes for the Julia language. It has the goals of ease of use, broad algorithmic support, and exceptional performance. Currently, this package supports B-splines and irregular grids. The API has been designed with the intent to support more options. Initial support for Lanczos interpolation was recently added. Pull requests are more than welcome! It should be noted that the API may continue to evolve over time.
    Downloads: 0 This Week
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  • 15

    The GR module for Julia

    Plotting for Julia based on GR

    This is the GR module for Julia. It places a Julia interface to GR, a universal framework for visualization applications. GR allows users to create high quality, engaging visualizations, everything from 2D graphs to complex 3D scenes. With this module simply type in Julia 'using gr', and you can instantly start calling functions in the GR framework API. GR is based on an implementation of a Graphical Kernel System (GKS) and OpenGL. As a self-contained system, integration into existing applications is quick and easy-- simply use a direct call from Julia with ccall syntax.
    Downloads: 3 This Week
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  • 16
    AutoMLPipeline.jl

    AutoMLPipeline.jl

    Package that makes it trivial to create and evaluate machine learning

    AutoMLPipeline (AMLP) is a package that makes it trivial to create complex ML pipeline structures using simple expressions. It leverages on the built-in macro programming features of Julia to symbolically process, and manipulate pipeline expressions and makes it easy to discover optimal structures for machine learning regression and classification. To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for ica (Independent Component Analysis) and pca (Principal Component Analysis) transformations, respectively, concatenated with the hot-bit encoding (ohe) of categorical features (catf) of a given data for rf (Random Forest) modeling.
    Downloads: 0 This Week
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  • 17
    SymbolicUtils.jl

    SymbolicUtils.jl

    Symbolic expressions, rewriting and simplification

    SymbolicUtils is a practical symbolic programming utility in Julia. It lets you create, rewrite and simplify symbolic expressions, and generate Julia code from them. SymbolicUtils.jl provides various utilities for symbolic computing. SymbolicUtils.jl is what one would use to build a Computer Algebra System (CAS). If you're looking for a complete CAS, similar to SymPy or Mathematica, see Symbolics.jl. If you want to build a crazy CAS for your weird Octonian algebras, you've come to the right place. ...
    Downloads: 4 This Week
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  • 18
    ResumableFunctions.jl

    ResumableFunctions.jl

    C# style generators a.k.a. semi-coroutines for Julia

    C# has a convenient way to create iterators using the yield return statement. The package ResumableFunctions provides the same functionality for the Julia language by introducing the @resumable and the @yield macros. These macros can be used to replace the Task switching functions produce and consume which were deprecated in Julia v0.6. Channels are the preferred way for inter-task communication in Julia v0.6+, but their performance is subpar for iterator applications.
    Downloads: 0 This Week
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  • 19
    PkgTemplates.jl

    PkgTemplates.jl

    Create new Julia packages, the easy way

    PkgTemplates.jl is a Julia package that automates the creation of new Julia packages by generating a project scaffold with common best practices. It helps users quickly set up reproducible project structures with Git integration, CI configuration, testing frameworks, documentation, and more. By using customizable templates, PkgTemplates streamlines package development and enforces consistency across Julia projects.
    Downloads: 0 This Week
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  • 20
    Bumper.jl

    Bumper.jl

    Bring Your Own Stack

    Bumper.jl is a package that aims to make working with bump allocators (also known as arena allocators) easier and safer. You can dynamically allocate memory to these bump allocators, and reset them at the end of a code block, just like Julia's stack. Allocating to a bump allocator with Bumper.jl can be just as efficient as stack allocation. Bumper.jl is still a young package, and may have bugs. Let me know if you find any.
    Downloads: 0 This Week
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  • 21
    NetCDF.jl

    NetCDF.jl

    NetCDF support for the julia programming language

    NetCDF support for the Julia programming language, there is a high-level and a medium-level interface for writing and reading netcdf files. The dimensions "x1" and "t" of the variable are called "x1" and "t" in this example. If the dimensions do not exist yet in the file, they will be created. The dimension "x1" will be of length 10 and have the values 11..20, and the dimension "t" will have length 20 and the attribute "units" with the value "s".
    Downloads: 0 This Week
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  • 22
    LLVM.jl

    LLVM.jl

    Julia wrapper for the LLVM C API

    ...The LLVM.jl package is a Julia wrapper for the LLVM C API, and can be used to work with the LLVM compiler framework from Julia. You can use the package to work with LLVM code generated by Julia, to interoperate with the Julia compiler, or to create your own compiler. It is heavily used by the different GPU compilers for the Julia programming language.
    Downloads: 0 This Week
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  • 23
    ApproxFun.jl

    ApproxFun.jl

    Julia package for function approximation

    ApproxFun is a package for approximating functions. It is in a similar vein to the Matlab package Chebfun and the Mathematica package RHPackage. The ApproxFun Documentation contains detailed information, or read on for a brief overview of the package. The documentation contains examples of usage, such as solving ordinary and partial differential equations. The ApproxFun Examples repo contains many examples of using this package, in Jupyter notebooks and Julia scripts. Note that this is...
    Downloads: 0 This Week
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  • 24
    DynamicQuantities.jl

    DynamicQuantities.jl

    Lightweight + fast physical quantities in Julia

    DynamicQuantities defines a simple statically-typed Quantity type for Julia. Physical dimensions are stored as a value, as opposed to a parametric type, as in Unitful.jl. This can greatly improve both runtime performance, by avoiding type instabilities, and startup time, as it avoids overspecializing methods.
    Downloads: 0 This Week
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  • 25
    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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