Showing 430 open source projects for "all-in-one"

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  • 1
    GPUArrays

    GPUArrays

    Reusable array functionality for Julia's various GPU backends

    Reusable GPU array functionality for Julia's various GPU backends. This package is the counterpart of Julia's AbstractArray interface, but for GPU array types: It provides functionality and tooling to speed-up development of new GPU array types. This package is not intended for end users! Instead, you should use one of the packages that builds on GPUArrays.jl, such as CUDA.jl, oneAPI.jl, AMDGPU.jl, or Metal.jl.
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  • 2
    Tullio.jl

    Tullio.jl

    Tullio is a very flexible einsum macro

    Tullio is a very flexible einsum macro. It understands many array operations written in index notation -- not just matrix multiplication and permutations, but also convolutions, stencils, scatter/gather, and broadcasting. Used by itself the macro writes ordinary nested loops much like Einsum.@einsum. One difference is that it can parse more expressions, and infer ranges for their indices. Another is that it will use multi-threading (via Threads.@spawn) and recursive tiling, on large enough...
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  • 3
    ParallelStencil.jl

    ParallelStencil.jl

    Package for writing high-level code for parallel stencil computations

    ParallelStencil empowers domain scientists to write architecture-agnostic high-level code for parallel high-performance stencil computations on GPUs and CPUs. Performance similar to CUDA C / HIP can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl or AMDGPU.jl GPU Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding GPU Array programming...
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  • 4
    IntervalRootFinding.jl

    IntervalRootFinding.jl

    Find all roots of a function in a guaranteed way with Julia

    This package provides guaranteed methods for finding roots of functions, i.e. solutions to the equation f(x) == 0 for a function f. To do so, it uses methods from interval analysis, using interval arithmetic from the IntervalArithmetic.jl package by the same authors. The basic function is roots. A standard Julia function and an interval is provided and the roots function return a list of intervals containing all roots of the function located in the starting interval.
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  • 5
    ChaosTools.jl

    ChaosTools.jl

    Tools for the exploration of chaos and nonlinear dynamics

    A Julia module that offers various tools for analyzing nonlinear dynamics and chaotic behavior. It can be used as a standalone package, or as part of DynamicalSystems.jl. All further information is provided in the documentation, which you can either find online or build locally by running the docs/make.jl file. ChaosTools.jl is the jack-of-all-trades package of the DynamicalSystems.jl library: methods that are not extensive enough to be a standalone package are added here. You should see...
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  • 6
    IntervalArithmetic.jl

    IntervalArithmetic.jl

    Library for validated numerics using interval arithmetic

    IntervalArithmetic.jl is a Julia package for validated numerics in Julia. All calculations are carried out using interval arithmetic where quantities are treated as intervals. The final result is a rigorous enclosure of the true value. We are working towards having the IntervalArithmetic library be conformant with the IEEE 1788-2015 Standard for Interval Arithmetic. To do so, we have incorporated tests from the ITF1788 test suite.
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  • 7
    PlotlyJS

    PlotlyJS

    Julia library for plotting with plotly.js

    Julia interface to plotly.js visualization library. This package constructs plotly graphics using all local resources. To interact or save graphics to the Plotly cloud, use the Plotly package.
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  • 8
    QuasiMonteCarlo.jl

    QuasiMonteCarlo.jl

    Lightweight and easy generation of quasi-Monte Carlo sequences

    Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML). This is a lightweight package for generating Quasi-Monte Carlo (QMC) samples using various different methods.
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  • 9
    ACME.jl

    ACME.jl

    Analog Circuit Modeling and Emulation for Julia

    ACME is a Julia package for the simulation of electrical circuits, focusing on audio effect circuits. It allows one to programmatically describe a circuit in terms of elements and connections between them and then automatically derive a model for the circuit. The model can then be run on varying input data.
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  • 10
    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.
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  • 11
    Chain.jl

    Chain.jl

    A Julia package for piping a value through transformation expressions

    A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
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  • 12
    JuliaSyntax

    JuliaSyntax

    A Julia frontend, written in Julia

    A Julia compiler frontend, written in Julia. Read the documentation for more information. JuliaSyntax.jl is used as the new default Julia parser in Julia 1.10. It's highly compatible with Julia's older femtoliter-based parser - It parses all of Base, the standard libraries and the General registry. Some minor differences remain where we've decided to fix bugs or strange behaviors in the reference parser. The AST and tree data structures are usable but their APIs will evolve as we try out...
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  • 13
    ChainRules.jl

    ChainRules.jl

    Forward and reverse mode automatic differentiation primitives

    ... directly. ChainRules reexports all the ChainRulesCore functionality and has all the rules for the Julia standard library.
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  • 14
    WhereTraits.jl

    WhereTraits.jl

    Traits for julia: dispatch on whatever you want using where syntax

    Welcome to WhereTraits.jl. This package exports one powerful macro @traits with which you can extend Julia's where syntax in order to support traits definitions. In addition, WhereTraits comes with a standardized way how to resolve ambiguities among traits, by defining an order among the traits with @traits_order. Under the hood @traits uses normal function dispatch to achieve the speed and flexibility, however, julia function dispatch can lead to ambiguities. With traits these can easily...
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  • 15
    Compat.jl

    Compat.jl

    Compatibility across Julia versions

    The Compat package is designed to ease interoperability between older and newer versions of the Julia language. In particular, in cases where it is impossible to write code that works with both the latest Julia master branch and older Julia versions, or impossible to write code that doesn't generate a deprecation warning in some Julia version, the Compat package provides a macro that lets you use the latest syntax in a backward-compatible way. This is primarily intended for use by other...
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  • 16
    DeepH-pack

    DeepH-pack

    Deep neural networks for density functional theory Hamiltonian

    DeepH-pack is the official implementation of the DeepH (Deep Hamiltonian) method described in the paper Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation and in the Research Briefing. DeepH-pack supports DFT results made by ABACUS, OpenMX, FHI-aims or SIESTA and will support HONPAS.
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  • 17
    Conda.jl

    Conda.jl

    https://github.com/JuliaPy/Conda.jl

    This package allows one to use conda as a cross-platform binary provider for Julia for other Julia packages, especially to install binaries that have complicated dependencies like Python. conda is a package manager that started as the binary package manager for the Anaconda Python distribution, but it also provides arbitrary packages. Instead of the full Anaconda distribution, Conda.jl uses the miniconda Python environment, which only includes conda and its dependencies.
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  • 18
    Tables.jl

    Tables.jl

    An interface for tables in Julia

    The Tables.jl package provides simple, yet powerful interface functions for working with all kinds of tabular data.
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  • 19
    RCall.jl

    RCall.jl

    Call R from Julia

    R is a language for statistical computing and graphics that has been around for a couple of decades and it has one of the most impressive collections of scientific and statistical packages of any environment. Recently, the Julia language has become an attractive alternative because it provides the remarkable performance of a low-level language without sacrificing the readability and ease of use of high-level languages. However, Julia still lacks the depth and scale of the R package environment...
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  • 20
    MeasureTheory.jl

    MeasureTheory.jl

    "Distributions" that might not add to one.

    Probabilistic programming and statistical computing are vibrant areas in the development of the Julia programming language, but the underlying infrastructure dramatically predates recent developments. The goal of MeasureTheory.jl is to provide Julia with the right vocabulary and tools for these tasks. In this package we introduce well-chosen foundational primitives centered around the notion of measure, density and conditional probability with powerful combinators and transforms intended to...
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  • 21
    DataFramesMeta.jl

    DataFramesMeta.jl

    Metaprogramming tools for DataFrames

    Metaprogramming tools for DataFrames.jl objects to provide more convenient syntax. DataFrames.jl has the functions select, transform, and combine, as well as the in-place select! and transform! for manipulating data frames. DataFramesMeta.jl provides the macros @select, @transform, @combine, @select!, and @transform! to mirror these functions with more convenient syntax. Inspired by dplyr in R and LINQ in C#.
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  • 22
    deck.gl

    deck.gl

    WebGL2 powered visualization framework

    ... of the box. Deck.gl is designed to be highly customizable. All layers come with flexible APIs to allow programmatic control of each aspect of the rendering. All core classes such are easily extendable by the users to address custom use cases. deck.gl is part of vis.gl, an OpenJS Foundation project. Read the contribution guidelines if you are interested in contributing.
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  • 23
    TimeZones.jl

    TimeZones.jl

    IANA time zone database access for the Julia programming language

    IANA time zone database access for the Julia programming language. TimeZones.jl extends the Date/DateTime support for Julia to include a new time zone-aware TimeType: ZonedDateTime.
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  • 24
    KittyTerminalImages.jl

    KittyTerminalImages.jl

    Allows Julia to display images in the kitty terminal editor

    A package that allows Julia to display images in the kitty terminal editor.
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  • 25
    VimBindings.jl

    VimBindings.jl

    Vim bindings for the Julia REPL

    Vim bindings for the Julia REPL. VimBindings.jl is a Julia package which brings vim emulation directly to the Julia REPL.
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