Showing 548 open source projects for "can"

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  • 1
    deck.gl

    deck.gl

    WebGL2 powered visualization framework

    deck.gl is designed to simplify high-performance, WebGL-based visualization of large data sets. Users can quickly get impressive visual results with minimal effort by composing existing layers, or leveraging deck.gl's extensible architecture to address customer needs. deck.gl maps data (usually an array of JSON objects) into a stack of visual layers - e.g. icons, polygons, texts; and look at them with views: e.g. map, first-person, orthographic. deck.gl handles a number of challenges out of the box. ...
    Downloads: 1 This Week
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  • 2
    Bayesian Optimization

    Bayesian Optimization

    Python implementation of global optimization with gaussian processes

    ...Explore the domain reduction notebook to learn more about how search can be sped up by dynamically changing parameters' bounds.
    Downloads: 0 This Week
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  • 3
    ClickVisual

    ClickVisual

    Log analytic and data visualize platform built on clickhouse

    ClickVisual is a lightweight browser-based logs analytics and logs search platform for ClickHouse.
    Downloads: 0 This Week
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  • 4
    ImplicitDifferentiation.jl

    ImplicitDifferentiation.jl

    Automatic differentiation of implicit functions

    ImplicitDifferentiation.jl is a package for automatic differentiation of functions defined implicitly, i.e., forward mappings. Those for which automatic differentiation fails. Reasons can vary depending on your backend, but the most common include calls to external solvers, mutating operations or type restrictions. Those for which automatic differentiation is very slow. A common example is iterative procedures like fixed point equations or optimization algorithms.
    Downloads: 0 This Week
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  • 5
    FromFile.jl

    FromFile.jl

    Julia enhancement proposal (Julep) for implicit per file module

    This package exports a macro @from, which can be used to import objects from files. The hope is that you will never have to write include again. FromFile is a Julia Language package. To install FromFile, please open Julia's interactive session (known as REPL) and press ] key in the REPL to use the package mode.
    Downloads: 0 This Week
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  • 6
    PowerSimulationsDynamics.jl

    PowerSimulationsDynamics.jl

    Julia package to run Dynamic Power System simulations

    PowerSimulationsDynamics.jl is a Julia package for power system modeling and simulation of Power Systems dynamics.
    Downloads: 0 This Week
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  • 7
    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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  • 8
    Krylov.jl

    Krylov.jl

    A Julia Basket of Hand-Picked Krylov Methods

    If you use Krylov.jl in your work, please cite it using the metadata given in CITATION.cff.
    Downloads: 0 This Week
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  • 9
    Oxygen.jl

    Oxygen.jl

    A breath of fresh air for programming web apps in Julia

    A breath of fresh air for programming web apps in Julia. Oxygen is a micro-framework built on top of the HTTP.jl library. Breathe easy knowing you can quickly spin up a web server with abstractions you're already familiar with.
    Downloads: 0 This Week
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  • 10
    Reduce.jl

    Reduce.jl

    Symbolic parser for Julia language term rewriting using REDUCE algebra

    ...It is a system for doing scalar, vector and matrix algebra by computer, which also supports arbitrary precision numerical approximation and interfaces to gnuplot to provide graphics. It can be used interactively for simple calculations (as illustrated in the screenshot below) but also provides a full programming language, with a syntax similar to other modern programming languages. REDUCE supports alternative user interfaces including Run-REDUCE, TeXmacs and GNU Emacs. REDUCE (and its complete source code) is available free of charge for most common computing systems, in some cases in more than one version for the same machine. ...
    Downloads: 1 This Week
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  • 11
    PyVista

    PyVista

    3D plotting and mesh analysis through a streamlined interface

    ...This package provides a Pythonic, well-documented interface exposing VTK’s powerful visualization backend to facilitate rapid prototyping, analysis, and visual integration of spatially referenced datasets. This module can be used for scientific plotting for presentations and research papers as well as a supporting module for other mesh-dependent Python modules. Easily integrate with NumPy and create a variety of geometries and plot them. You could use any geometry to create your glyphs, or even plot the points directly. Direct access to mesh analysis and transformation routines. ...
    Downloads: 1 This Week
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  • 12
    Cytoscape.js

    Cytoscape.js

    Graph theory library for visualization and analysis

    A fully featured graph library written in pure JS. Permissive open source license (MIT) for the core Cytoscape.js library and all first-party extensions. Used in commercial projects and open-source projects in production. Designed for users first, for both frontfacing app usecases and developer usecases. Highly optimized. Compatible with All modern browsers. Legacy browsers with ES5 and canvas support. ES5 and canvas support are required, and feature detection is used for optional...
    Downloads: 1 This Week
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  • 13
    Matplotlib

    Matplotlib

    matplotlib: plotting with Python

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a...
    Downloads: 1 This Week
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  • 14
    leafmap

    leafmap

    A Python package for interactive mapping and geospatial analysis

    A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It...
    Downloads: 0 This Week
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  • 15
    GeoInterface.jl

    GeoInterface.jl

    A Julia Protocol for Geospatial Data

    This Package describe a set of traits based on the Simple Features standard (SF) for geospatial vector data, including the SQL/MM extension with support for circular geometry. Using these traits, it should be easy to parse, serialize and use different geometries in the Julia ecosystem, without knowing the specifics of each individual package. In that regard it is similar to Tables.jl, but for geometries instead of tables.
    Downloads: 0 This Week
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  • 16
    MultilayerGraphs.jl

    MultilayerGraphs.jl

    Julia package for the creation and analysis of multilayer graphs

    MultilayerGraphs.jl is a Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs. A multilayer graph is a graph consisting of multiple standard subgraphs called layers which can be interconnected through bipartite graphs called interlayers composed of the vertex sets of two different layers and the edges between them. The vertices in each layer represent a single set of nodes, although not all nodes have to be represented in every layer.
    Downloads: 0 This Week
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  • 17
    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.
    Downloads: 0 This Week
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  • 18
    Compose.jl

    Compose.jl

    Declarative vector graphics

    Compose is a vector graphics library for Julia. It forms the basis for the statistical graphics system Gadfly. Compose is a declarative vector graphics system written in Julia. It's designed to simplify the creation of complex graphics and serves as the basis of the Gadfly data visualization package.
    Downloads: 0 This Week
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  • 19
    Every Door

    Every Door

    A dedicated app for collecting thousands of POI for OpenStreetMap

    ...Just go to a mall, and start Every Door. You'll see mapped shops around you: tap on the checkmark for any that are still there, and add shops that are not on the map. That's the entire process: you can keep your entire town up-to-date thanks to this simple editor. There is also a micromapping mode for verifying and adding benches and street lamps. And an entrance mode for adding building attributes and entrances, which are merged automatically into building contours.
    Downloads: 1 This Week
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  • 20
    pydna

    pydna

    Clone with Python! Data structures for double stranded DNA

    ...The pydna python package provide a human-readable formal description of cloning and genetic assembly strategies in Python which allow for simulation and verification. Pydna can be used as executable documentation for cloning.
    Downloads: 0 This Week
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  • 21
    CounterfactualExplanations.jl

    CounterfactualExplanations.jl

    A package for Counterfactual Explanations and Algorithmic Recourse

    CounterfactualExplanations.jl is a package for generating Counterfactual Explanations (CE) and Algorithmic Recourse (AR) for black-box algorithms. Both CE and AR are related tools for explainable artificial intelligence (XAI). While the package is written purely in Julia, it can be used to explain machine learning algorithms developed and trained in other popular programming languages like Python and R. See below for a short introduction and other resources or dive straight into the docs.
    Downloads: 0 This Week
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  • 22
    Functors.jl

    Functors.jl

    Parameterise all the things

    Functors.jl provides tools to express a powerful design pattern for dealing with large/ nested structures, as in machine learning and optimization. For large machine learning models, it can be cumbersome or inefficient to work with parameters as one big, flat vector, and structs help manage complexity; but it is also desirable to easily operate over all parameters at once, e.g. for changing precision or applying an optimizer update step.
    Downloads: 0 This Week
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  • 23
    MethodOfLines.jl

    MethodOfLines.jl

    Automatic Finite Difference PDE solving with Julia SciML

    MethodOfLines.jl is a Julia package for automated finite difference discretization of symbolically defined PDEs in N dimensions. It uses symbolic expressions for systems of partial differential equations as defined with ModelingToolkit.jl, and Interval from DomainSets.jl to define the space(time) over which the simulation runs. This project is under active development, therefore the interface is subject to change. The docs will be updated to reflect any changes, please check back for current...
    Downloads: 0 This Week
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  • 24
    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 it easy to perform optimization and therefore ideal for computer vision applications such as SLAM (simultaneous localization and mapping).
    Downloads: 0 This Week
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  • 25
    Coluna.jl

    Coluna.jl

    Branch-and-Price-and-Cut in Julia

    ...Then, Coluna reformulates the original MIP and optimizes the reformulation using the algorithms you choose. Coluna aims to be very modular and tweakable so that you can define the behavior of your customized branch-and-price-and-cut algorithm.
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