Showing 368 open source projects for "package installer linux"

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  • 1
    BetaML.jl

    BetaML.jl

    Beta Machine Learning Toolkit

    The Beta Machine Learning Toolkit is a package including many algorithms and utilities to implement machine learning workflows in Julia, Python, R and any other language with a Julia binding. All models are implemented entirely in Julia and are hosted in the repository itself (i.e. they are not wrapper to third-party models). If your favorite option or model is missing, you can try to implement it yourself and open a pull request to share it (see the section Contribute below) or request its...
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  • 2
    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...
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  • 3
    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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  • 4
    PartitionedArrays.jl

    PartitionedArrays.jl

    Vectors and sparse matrices partitioned into pieces

    This package provides distributed (a.k.a. partitioned) vectors and sparse matrices in Julia. See the documentation for further details.
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  • 5
    Enzyme.jl

    Enzyme.jl

    Julia bindings for the Enzyme automatic differentiator

    This is a package containing the Julia bindings for Enzyme. This is very much a work in progress and bug reports/discussion is greatly appreciated. Enzyme is a plugin that performs automatic differentiation (AD) of statically analyzable LLVM. It is highly-efficient and its ability perform AD on optimized code allows Enzyme to meet or exceed the performance of state-of-the-art AD tools.
    Downloads: 2 This Week
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  • 6
    prettymaps

    prettymaps

    A small set of Python functions to draw pretty maps from OpenStreetMap

    A Python package to draw maps with customizable styles from OpenStreetMap data. Created using the osmnx, matplotlib, shapely and vsketch packages.
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  • 7
    FreqTables.jl

    FreqTables.jl

    Frequency tables in Julia

    This package allows computing one- or multi-way frequency tables (a.k.a. contingency or pivot tables) from any type of vector or array. It includes support for CategoricalArray and Tables.jl compliant objects, as well as for weighted counts.
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  • 8
    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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  • 9
    ProtoBuf.jl

    ProtoBuf.jl

    Julia protobuf implementation

    This is a Julia package that provides a compiler and a codec for Protocol Buffers. Protocol Buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data.
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  • 10
    LanguageServer.jl

    LanguageServer.jl

    An implementation of the Microsoft Language Server Protocol

    This package implements the Microsoft Language Server Protocol for the Julia programming language. Text editors with a client for the Language Server Protocol are able to make use of the Julia Language Server for various code editing features.
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  • 11
    pprof

    pprof

    pprof is a tool for visualization and analysis of profiling data

    pprof is a profiling visualization and analysis tool that ingests profiles in the profile.proto format and generates human-readable and graph-based reports. It supports multiple profile types (CPU, heap, allocations, contention, etc.) and can present data as text tables, call graphs (via Graphviz/dot), flame graphs, and interactive web UIs. The tool helps developers find hot paths, quantify resource usage, and compare profiles across runs to validate performance changes. It is widely used in...
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  • 12
    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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  • 13
    ReinforcementLearning.jl

    ReinforcementLearning.jl

    A reinforcement learning package for Julia

    A collection of tools for doing reinforcement learning research in Julia. Provide elaborately designed components and interfaces to help users implement new algorithms. Make it easy for new users to run benchmark experiments, compare different algorithms, and evaluate and diagnose agents. Facilitate reproducibility from traditional tabular methods to modern deep reinforcement learning algorithms. Make it easy for new users to run benchmark experiments, compare different algorithms, and...
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  • 14
    ggpubr

    ggpubr

    'ggplot2' Based Publication Ready Plots

    ggpubr is an R package that provides easy-to-use wrapper functions around ggplot2 to create publication-ready visualizations with minimal code. It streamlines plot creation for researchers and analysts, allowing features such as statistical annotation, theme customization, and plot arrangement with fewer lines of code.
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  • 15
    UnROOT.jl

    UnROOT.jl

    Native Julia I/O package to work with CERN ROOT files objects

    UnROOT.jl is a reader for the CERN ROOT file format written entirely in Julia, without any dependence on ROOT or Python.
    Downloads: 0 This Week
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  • 16
    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.
    Downloads: 0 This Week
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  • 17
    PolyChaos.jl

    PolyChaos.jl

    Julia package to construct orthogonal polynomials

    PolyChaos is a collection of numerical routines for orthogonal polynomials written in the Julia programming language. Starting from some non-negative weight (aka an absolutely continuous nonnegative measure).
    Downloads: 0 This Week
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  • 18
    MarketData.jl

    MarketData.jl

    Time series market data

    The MarketData package provides open-source financial data for research and testing. The data is from Quandl and is free end-of-day stock data. It is public domain without restrictions. The TimeSeries TimeArray data structure is used to store the data, but conversion to other data structures, including DataFrames and AxisArrays, is supported.
    Downloads: 0 This Week
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  • 19
    GPUCompiler.jl

    GPUCompiler.jl

    Reusable compiler infrastructure for Julia GPU backends

    Reusable compiler infrastructure for Julia GPU backends. This package offers reusable compiler infrastructure and tooling for implementing GPU compilers in Julia. It is not intended for end users! Instead, you should use one of the packages that builds on GPUCompiler.jl, such as CUDA.jl or AMDGPU.jl.
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  • 20
    GeophysicalFlows.jl

    GeophysicalFlows.jl

    Geophysical fluid dynamics pseudospectral solvers with Julia

    GeophysicalFlows.jl is a collection of modules that leverage the FourierFlows.jl framework to provide solvers for problems in Geophysical Fluid Dynamics, on periodic domains using Fourier-based pseudospectral methods.
    Downloads: 0 This Week
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  • 21
    ConcurrentSim.jl

    ConcurrentSim.jl

    Discrete event process oriented simulation framework written in Julia

    A discrete event process-oriented simulation framework written in Julia inspired by the Python library SimPy. One of the longest-lived Julia packages (originally under the name SimJulia).
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  • 22
    AbstractGPs.jl

    AbstractGPs.jl

    Abstract types and methods for Gaussian Processes

    AbstractGPs.jl is a package that defines a low-level API for working with Gaussian processes (GPs), and basic functionality for working with them in the simplest cases. As such it is aimed more at developers and researchers who are interested in using it as a building block than end-users of GPs. You may want to go through the main API design documentation.
    Downloads: 0 This Week
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  • 23
    CSV

    CSV

    Utility library for working with CSV and other delimited files

    Welcome to CSV.jl! A pure-Julia package for handling delimited text data, be it comma-delimited (csv), tab-delimited (tsv), or otherwise. A fast, flexible delimited file reader/writer for Julia.
    Downloads: 0 This Week
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  • 24
    StatsBase.jl

    StatsBase.jl

    Basic statistics for Julia

    StatsBase.jl is a Julia package that provides basic support for statistics. Particularly, it implements a variety of statistics-related functions, such as scalar statistics, high-order moment computation, counting, ranking, covariances, sampling, and empirical density estimation.
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  • 25
    brms

    brms

    brms R package for Bayesian generalized multivariate models using Stan

    brms is an R package by Paul Bürkner which provides a high-level interface for fitting Bayesian multilevel (i.e. mixed effects) models, generalized linear / non-linear / multivariate models using Stan as the backend. It allows R users to specify complex Bayesian models using formula syntax similar to lme4 but with far more flexibility (distributions, link functions, hierarchical structure, nonlinear terms, etc.). It supports model diagnostics, posterior predictive checking, model comparison,...
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