Showing 67 open source projects for "julia set"

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  • 1
    Gridap.jl

    Gridap.jl

    Grid-based approximation of partial differential equations in Julia

    Gridap provides a set of tools for the grid-based approximation of partial differential equations (PDEs) written in the Julia programming language. The library currently supports linear and nonlinear PDE systems for scalar and vector fields, single and multi-field problems, conforming and nonconforming finite element (FE) discretizations, on structured and unstructured meshes of simplices and n-cubes. It also provides methods for time integration. Gridap is extensible and modular. One can...
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  • 2
    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...
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  • 3
    FileTrees.jl

    FileTrees.jl

    Parallel file processing made easy

    Easy everyday parallelism with a file tree abstraction. Read a directory structure as a Julia data structure, (lazy-)load the files, apply map and reduce operations on the data while not exceeding available memory if possible. Make up a file tree in memory, create some data to go with each file (in parallel), write the tree to disk (in parallel). FileTrees is a set of tools to lazy-load, process and save file trees. Built-in parallelism allows you to max out all threads and processes that Julia...
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  • 4
    PowerSimulations.jl

    PowerSimulations.jl

    Julia for optimization simulation and modeling of PowerSystems

    PowerSimulations.jl is a Julia package for power system modeling and simulation of Power Systems operations. Provide a flexible modeling framework that can accommodate problems of different complexity and at different time scales. Streamline the construction of large-scale optimization problems to avoid repetition of work when adding/modifying model details. Exploit Julia's capabilities to improve computational performance of large-scale power system quasi-static simulations. The flexible...
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  • 5
    DiffEqBayes.jl

    DiffEqBayes.jl

    Extension functionality which uses Stan.jl, DynamicHMC.jl

    This repository is a set of extension functionality for estimating the parameters of differential equations using Bayesian methods. It allows the choice of using CmdStan.jl, Turing.jl, DynamicHMC.jl and ApproxBayes.jl to perform a Bayesian estimation of a differential equation problem specified via the DifferentialEquations.jl interface.
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  • 6
    ReachabilityAnalysis.jl

    ReachabilityAnalysis.jl

    Compute reachable states of dynamical systems

    Reachability analysis is concerned with computing rigorous approximations of the set of states reachable by a dynamical system. In the scope of this package are systems modeled by continuous or hybrid dynamical systems, where the dynamics change with discrete events. Systems are modeled by ordinary differential equations (ODEs) or semi-discrete partial differential equations (PDEs), with uncertain initial states, uncertain parameters or non-deterministic inputs.
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  • 7
    RuntimeGeneratedFunctions.jl

    RuntimeGeneratedFunctions.jl

    Functions generated at runtime without world-age issues or overhead

    RuntimeGeneratedFunctions are functions generated at runtime without world-age issues and with the full performance of a standard Julia anonymous function. This builds functions in a way that avoids eval. For technical reasons, RuntimeGeneratedFunctions needs to cache the function expression in a global variable within some module. This is normally transparent to the user, but if the RuntimeGeneratedFunction is evaluated during module precompilation, the cache module must be explicitly set...
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  • 8
    CoordinateTransformations.jl

    CoordinateTransformations.jl

    A fresh approach to coordinate transformations

    CoordinateTransformations is a Julia package to manage simple or complex networks of coordinate system transformations. Transformations can be easily applied, inverted, composed, and differentiated (both with respect to the input coordinates and with respect to transformation parameters such as rotation angle). Transformations are designed to be light-weight and efficient enough for, e.g., real-time graphical applications, while support for both explicit and automatic differentiation makes...
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  • 9
    InteractiveViz.jl

    InteractiveViz.jl

    Interactive visualization tools for Julia

    Julia already has a rich set of plotting tools in the form of the Plots and Makie ecosystems, and various backends for these. So why another plotting package? InteractiveViz is not a replacement for Plots or Makie, but rather a graphics pipeline system developed on top of Makie. It has a few objectives. To provide a simple API to visualize large or possibly infinite datasets (tens of millions of data points) easily. To enable interactivity, and be responsive even with large amounts of data...
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  • 10
    LossFunctions.jl

    LossFunctions.jl

    Julia package of loss functions for machine learning

    This package represents a community effort to centralize the definition and implementation of loss functions in Julia. As such, it is a part of the JuliaML ecosystem. The sole purpose of this package is to provide an efficient and extensible implementation of various loss functions used throughout Machine Learning (ML). It is thus intended to serve as a special purpose back-end for other ML libraries that require losses to accomplish their tasks. To that end we provide a considerable amount...
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  • 11
    TensorBoardLogger.jl

    TensorBoardLogger.jl

    Easy peasy logging to TensorBoard with Julia

    TensorBoardLogger.jl is a native library for logging arbitrary data to Tensorboard, extending Julia's standard Logging framework. It can also be used to deserialize TensoBoard's .proto files. The fundamental type defined in this package is a TBLogger, which behaves like other standard loggers in Julia such as ConsoleLogger or TextLogger. You can create one by passing it the path to the folder where you want to store the data. You can also pass an optional second argument to specify...
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  • 12
    LoggingExtras.jl

    LoggingExtras.jl

    Composable Loggers for the Julia Logging StdLib

    LoggingExtras allows routing logged information to different places when constructing complicated "log plumbing" systems. Built upon the concept of simple parts composed together, subtyping AbstractLogger provides a powerful and flexible definition for your logging system without a need to define any custom loggers. When we talk about composability, the composition of any set of Loggers is itself a Logger, and LoggingExtras is a composable logging system.
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  • 13
    Polyhedra

    Polyhedra

    Polyhedral Computation Interface

    Polyhedra provides an unified interface for Polyhedral Computation Libraries such as CDDLib.jl. This manipulation notably includes the transformation from (resp. to) an inequality representation of a polyhedron to (resp. from) its generator representation (convex hull of points + conic hull of rays) and projection/elimination of a variable with e.g. Fourier-Motzkin.
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  • 14
    InteractiveCodeSearch.jl

    InteractiveCodeSearch.jl

    Interactively search Julia code from terminal

    Julia has @edit, @less, etc. which are very handy for reading the implementation of functions. However, you need to specify a "good enough" set of (type) parameters for them to find the location of the code.
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  • 15
    ThreadsX.jl

    ThreadsX.jl

    Parallelized Base functions

    Add prefix ThreadsX. to functions from Base to get some speedup, if supported. The reduce-based functions support any collections that implement SplittablesBase.jl interface including arrays, Dict, Set, and iterator transformations. In particular, these functions support iterator comprehension. ThreadsX.jl is aiming at providing API compatible with Base functions to easily parallelize Julia programs. All functions that exist directly under ThreadsX namespace are public API and they implement...
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  • 16
    JuliaCall for Seamless Integration of R
    Package JuliaCall is an R interface to Julia, which is a high-level, high-performance dynamic programming language for numerical computing. Below is an image for Mandelbrot set. JuliaCall brings more than 100 times speedup of the calculation.
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  • 17
    Setfield.jl

    Setfield.jl

    Update deeply nested immutable structs

    Update deeply nested immutable structs. We plan to maintain Setfield.jl for a long time. We will however not add new features.
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  • 18
    Geodesy.jl

    Geodesy.jl

    Work with points defined in various coordinate systems

    Geodesy is a Julia package for working with points in various world and local coordinate systems. The primary feature of Geodesy is to define and perform coordinate transformations in a convenient and safe framework, leveraging the CoordinateTransformations package. Transformations are accurate and efficient and implemented in native Julia code (with many functions being ported from Charles Karney's GeographicLib C++ library), and some common geodetic datums are provided for convenience.
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  • 19
    Fractal Zoomer

    Fractal Zoomer

    A Fractal Zoomer with various functions.

    An application that lets you render some of the most known fractal functions, like the Mandelbrot set and many more! It comes with alot of options to further enhance your fractal experience! Its easy to use and does not require installation. A java version higher than 1.8 is required to be installed.
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    Downloads: 37 This Week
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  • 20
    Fractal Explorer

    Fractal Explorer

    Simple multi-threaded program to zoom into fractals. Runs on Windows

    Support for Mandelbrot set, Julia sets and Newton fractals. Source code may not be up to date. Source code: https://github.com/PrancerFrisco/Fractals
    Downloads: 2 This Week
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  • 21
    FractalRenderingApp

    FractalRenderingApp

    Lightweight app for visualization of Mandelbrot and Julia set

    Source code is available on https://github.com/MarkoLeskovar/FractalRenderingApp
    Downloads: 1 This Week
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  • 22

    Dynamics Explorer

    Dynamical systems research tool

    Dynamics Explorer, (detool for short), is a program designed to let users explore dynamical systems, particularly focused on enabling mathematicians to improve the efficiency and quality of their research in the field of complex dynamics.
    Downloads: 2 This Week
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  • 23

    lorenz

    Ada contributions : demos of GTKAda, binding to PCRE

    Ada contributions : 1/Lorenz is a small animation program which draws the Lorenz attractor using GTK+. For maximum portability, it uses Ada and GTKAda with a Glade3 interface Windows executable bundled with all the GTK DLL's is provided. Upgraded to Gtk3 in 2017 2/Thin Ada binding to PCRE regular expression. 3/Gate3 : Ada code sketcher for glade3. generates an Ada prototype from a XML file. Enables RAD of user interface with glade 4/Julia set with GtkAda 5/OpenGL demos...
    Downloads: 2 This Week
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  • 24
    SciMLTutorials.jl

    SciMLTutorials.jl

    Tutorials for doing scientific machine learning (SciML)

    SciMLTutorials.jl holds PDFs, webpages, and interactive Jupyter notebooks showing how to utilize the software in the SciML Scientific Machine Learning ecosystem. This set of tutorials was made to complement the documentation and the devdocs by providing practical examples of the concepts. For more details, please consult the docs. To view the SciML Tutorials, go to tutorials.sciml.ai. By default, this will lead to the latest tagged version of the tutorials
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  • 25
    LightGraphs

    LightGraphs

    An optimized graphs package for the Julia programming language

    LightGraphs offers both (a) a set of simple, concrete graph implementations -- Graph (for undirected graphs) and DiGraph (for directed graphs), and (b) an API for the development of more sophisticated graph implementations under the AbstractGraph type. The project goal is to mirror the functionality of robust network and graph analysis libraries such as NetworkX while being simpler to use and more efficient than existing Julian graph libraries such as Graphs.jl. It is an explicit design...
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