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Awesome GitHub RepositoriesArray Initialization

Programmatic creation of multi-dimensional arrays using constants, identity matrices, or specific patterns.

Distinct from Multi-Dimensional Arrays: Focuses on the creation and initialization phase rather than the architectural implementation of multi-dimensional structures.

Explore 3 awesome GitHub repositories matching scientific & mathematical computing · Array Initialization. Refine with filters or upvote what's useful.

Awesome Array Initialization GitHub Repositories

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  • nyandwi/machine_learning_completeNyandwi 的头像

    Nyandwi/machine_learning_complete

    4,983在 GitHub 上查看↗

    This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi

    Demonstrates how to generate vectors and matrices using NumPy patterns like zeros and ones.

    Jupyter Notebookcomputer-visiondata-analysisdata-science
    在 GitHub 上查看↗4,983
  • dpilger26/numcppdpilger26 的头像

    dpilger26/NumCpp

    3,963在 GitHub 上查看↗

    NumCpp 是一个 C++ 框架和数值计算库,提供了一套用于多维数组管理和数学运算的工具包。它作为 NumPy 生态系统的 C++ 实现,提供了一个用于管理张量和执行复杂代数方程的科学计算框架。 该项目支持在 C++ 环境中进行高性能数组操作,而无需依赖 Python 运行时。它通过提供类似 NumPy 的接口来执行线性代数、管理多维数据结构和执行数值处理而脱颖而出。 该库涵盖了广泛的功能,包括矩阵代数运算、通过切片和重塑进行的数组几何管理,以及随机分布的生成。它还包括用于数据集分析、数组统计以及通过二进制和文本格式导入导出数值数据的工具。

    Offers programmatic creation of arrays using linear spacing, identity matrices, and fixed values.

    C++
    在 GitHub 上查看↗3,963
  • xtensor-stack/xtensorxtensor-stack 的头像

    xtensor-stack/xtensor

    3,748在 GitHub 上查看↗

    xtensor is a C++ multidimensional array library for numerical computing that provides N-dimensional containers with an interface mirroring the NumPy API. It utilizes a lazy evaluation expression engine to defer numerical computations until assignment, which minimizes memory allocations and intermediate copies. The library features a foreign memory array adaptor that allows it to wrap external buffers, such as NumPy arrays, to perform numerical operations in-place without duplicating data. It further optimizes performance through lazy broadcasting and a system that manages the lifetime of temp

    Creates arrays filled with constants, identity matrices, or sequences as lazy or evaluated containers.

    C++c-plus-plus-14multidimensional-arraysnumpy
    在 GitHub 上查看↗3,748
  1. Home
  2. Scientific & Mathematical Computing
  3. Multi-Dimensional Arrays
  4. Array Initialization

探索子标签

  • Template-Based InitializationCreation of arrays by mirroring the shape, type, and layout of an existing array. **Distinct from Array Initialization:** Distinct from general Array Initialization by focusing on cloning the structural properties of an existing tensor.