Showing 8 open source projects for "most"

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  • 1
    Combinatorics.jl

    Combinatorics.jl

    A combinatorics library for Julia

    A combinatorics library for Julia, focusing mostly (as of now) on enumerative combinatorics and permutations. As overflows are expected even for low values, most of the functions always return BigInt, and are marked as such.
    Downloads: 4 This Week
    Last Update:
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  • 2
    GDAL.jl

    GDAL.jl

    Thin Julia wrapper for GDAL - Geospatial Data Abstraction Library

    ...It provides only a C style usage, where resources must be closed manually, and datasets are pointers. Other packages can build on top of this to provide a more Julian user experience. See for example ArchGDAL.jl. Most users will want to use ArchGDAL.jl instead of using GDAL.jl directly.
    Downloads: 2 This Week
    Last Update:
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  • 3
    AlphaZero.jl

    AlphaZero.jl

    A generic, simple and fast implementation of Deepmind's AlphaZero

    ...Many simple Python implementations can be found on Github, but none of them is able to beat a reasonable baseline on games such as Othello or Connect Four. As an illustration, the benchmark in the README of the most popular of them only features a random baseline, along with a greedy baseline that does not appear to be significantly stronger.
    Downloads: 28 This Week
    Last Update:
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  • 4
    PackageCompiler

    PackageCompiler

    Compile your Julia Package

    Julia is, in general, a "just-barely-ahead-of-time" compiled language. When you call a function for the first time, Julia compiles it for precisely the types of arguments given. This can take some time. All subsequent calls within that same session use this fast compiled function, but if you restart Julia you lose all the compiled work. PackageCompiler allows you to do this work upfront — further ahead of time — and store the results for a lower latency startup. You can save loaded packages...
    Downloads: 10 This Week
    Last Update:
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  • 5
    Catlab.jl

    Catlab.jl

    A framework for applied category theory in the Julia language

    Catlab.jl is a framework for applied and computational category theory, written in the Julia language. Catlab provides a programming library and interactive interface for applications of category theory to scientific and engineering fields. It emphasizes monoidal categories due to their wide applicability but can support any categorical structure that is formalizable as a generalized algebraic theory. First and foremost, Catlab provides data structures, algorithms, and serialization for...
    Downloads: 1 This Week
    Last Update:
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  • 6
    Measurements.jl

    Measurements.jl

    Error propagation calculator and library for physical measurements

    Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. Physical measures are typically reported with an error, a quantification of the uncertainty of the accuracy of the measurement. Whenever you perform mathematical operations involving these quantities you have also to propagate the uncertainty, so that the resulting number will also have...
    Downloads: 2 This Week
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  • 7
    AI-Agent-Host

    AI-Agent-Host

    The AI Agent Host is a module-based development environment.

    ...The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. The AI Agent Host is built specifically for LangChain, a framework dedicated to developing applications powered by language models. LangChain recognizes that the most powerful and distinctive applications go beyond simply utilizing a language model and strive to be data-aware and agentic. Being data-aware involves connecting a language model to other sources of data, enabling a comprehensive understanding and analysis of information.
    Downloads: 0 This Week
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  • 8
    Chess.jl

    Chess.jl

    Julia chess programming library

    ...There are functions for creating and manipulating chess games, chess positions and sets of squares on the board, for reading and writing chess games in the popular PGN format (including support for comments and variations), for creating opening trees, and for interacting with UCI chess engines. The library was designed for the purpose of doing machine learning experiments in computer chess, but it should also be suitable for most other types of chess software.
    Downloads: 2 This Week
    Last Update:
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