Showing 37 open source projects for "basic compiler windows"

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  • 1
    QuadGK.jl

    QuadGK.jl

    adaptive 1d numerical Gauss–Kronrod integration in Julia

    This package provides support for one-dimensional numerical integration in Julia using adaptive Gauss-Kronrod quadrature. The code was originally part of Base Julia. It supports the integration of arbitrary numeric types, including arbitrary-precision (BigFloat), and even the integration of arbitrary normed vector spaces. The package provides three basic functions: quadgk, gauss, and kronrod. quadgk performs the integration, gauss computes Gaussian quadrature points and weights for...
    Downloads: 9 This Week
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  • 2
    MPI.jl

    MPI.jl

    MPI wrappers for Julia

    This is a basic Julia wrapper for the portable message-passing system Message Passing Interface (MPI). Inspiration is taken from mpi4py, although we generally follow the C and not the C++ MPI API. (The C++ MPI API is deprecated.) MPI is based on a single program, multiple data (SPMD) model, where multiple processes are launched running independent programs, which then communicate as necessary via messages. As the main entry point for users, MPI.jl provides a high-level interface which...
    Downloads: 8 This Week
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  • 3
    MLJBase.jl

    MLJBase.jl

    Core functionality for the MLJ machine learning framework

    Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ.
    Downloads: 6 This Week
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  • 4
    Roots.jl

    Roots.jl

    Root finding functions for Julia

    This package contains simple routines for finding roots, or zeros, of scalar functions of a single real variable using floating-point math. The find_zero function provides the primary interface. The basic call is find_zero(f, x0, [M], [p]; kws...) where, typically, f is a function, x0 a starting point or bracketing interval, M is used to adjust the default algorithms used, and p can be used to pass in parameters. Bisection-like algorithms. For functions where a bracketing interval is known...
    Downloads: 7 This Week
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  • 5
    Luxor

    Luxor

    Simple drawings using vector graphics; Cairo "for tourists!"

    Luxor is a Julia package for drawing simple static 2D vector graphics. It provides basic drawing functions and utilities for working with shapes, polygons, clipping masks, PNG and SVG images, turtle graphics, and simple animations. The focus of Luxor is on simplicity and ease of use: it should be easier to use than plain Cairo.jl, with shorter names, fewer underscores, default contexts, and simplified functions. For more complex and sophisticated graphics in 2D and 3D, Makie.jl is the best...
    Downloads: 2 This Week
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  • 6
    Bayesian Julia

    Bayesian Julia

    Bayesian Statistics using Julia and Turing

    Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from...
    Downloads: 8 This Week
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  • 7
    MessyTimeSeries.jl

    MessyTimeSeries.jl

    A Julia implementation of basic tools for time series analysis

    A Julia implementation of basic tools for time series analysis compatible with incomplete data. Advanced estimation and validation algorithms are included in MessyTimeSeriesOptim.
    Downloads: 6 This Week
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  • 8
    DotNET.jl

    DotNET.jl

    This package provides interoperability between Julia and .NET apps

    This package provides interoperability between Julia and Common Language Runtime, the execution engine of .NET applications. Many languages run on CLR, including C#, Visual Basic .NET and PowerShell.
    Downloads: 2 This Week
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  • 9
    ReinforcementLearningAnIntroduction.jl

    ReinforcementLearningAnIntroduction.jl

    Julia code for the book Reinforcement Learning An Introduction

    This project provides the Julia code to generate figures in the book Reinforcement Learning: An Introduction(2nd). One of our main goals is to help users understand the basic concepts of reinforcement learning from an engineer's perspective. Once you have grasped how different components are organized, you're ready to explore a wide variety of modern deep reinforcement learning algorithms in ReinforcementLearningZoo.jl.
    Downloads: 8 This Week
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  • 10
    RigidBodyDynamics.jl

    RigidBodyDynamics.jl

    Julia implementation of various rigid body dynamics

    RigidBodyDynamics.jl is a rigid body dynamics library in pure Julia. It aims to be user friendly and performant, but also generic in the sense that the algorithms can be called with inputs of any (suitable) scalar types. This means that if fast numeric dynamics evaluations are required, a user can supply Float64 or Float32 inputs. However, if symbolic quantities are desired for analysis purposes, they can be obtained by calling the algorithms with e.g. SymPy.Sym inputs. If gradients are...
    Downloads: 6 This Week
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  • 11
    JuliaFEM.jl

    JuliaFEM.jl

    The JuliaFEM software library is a framework

    The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed...
    Downloads: 6 This Week
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  • 12
    HttpServer.jl

    HttpServer.jl

    Basic, non-blocking HTTP server in Julia

    This is a basic, non-blocking HTTP server in Julia. You can write a basic application using just this if you're happy dealing with values representing HTTP requests and responses directly. For a higher-level view, you could use Mux. If you'd like to use WebSockets as well, you'll need to grab WebSockets.jl.
    Downloads: 4 This Week
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