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4 مستودعات

Awesome GitHub RepositoriesGeneral Array Operations

Functions for appending, copying, concatenating, sorting, and splicing array data.

Distinct from Array Concatenations: Distinct from Array Concatenations: covers a broader set of array operations beyond just concatenation.

Explore 4 awesome GitHub repositories matching scientific & mathematical computing · General Array Operations. Refine with filters or upvote what's useful.

Awesome General Array Operations GitHub Repositories

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  • exaloop/codonالصورة الرمزية لـ exaloop

    exaloop/codon

    16,803عرض على GitHub↗

    Codon is an LLVM-based Python compiler and statically typed implementation that translates source code into optimized machine instructions. It functions as a high-performance numerical backend and a GPU computing framework designed to remove runtime overhead. The project implements a compiled alternative to NumPy, translating array logic directly into machine code. It differentiates itself by generating specialized hardware kernels for graphics processors and utilizing static type inference to enable aggressive machine-code optimization. The system provides capabilities for parallel workload

    Implements a high-performance array backend that translates array logic directly into machine code.

    Python
    عرض على GitHub↗16,803
  • processing/processingالصورة الرمزية لـ processing

    processing/processing

    6,487عرض على GitHub↗

    Processing is a creative coding environment and Java graphics library designed for writing visual sketches that produce interactive 2D and 3D graphics and animations. It runs on the Java Virtual Machine, using an OpenGL-based hardware-accelerated rendering pipeline, and operates on a sketch-based execution model where programs run as continuous loops of setup and draw functions with event-driven input handling for keyboard, mouse, and window interactions. The environment distinguishes itself as a cross-platform sketch tool that runs visual programs unchanged on desktop, web, Android, and Rasp

    Provides functions for appending, copying, concatenating, sorting, and splicing arrays.

    Java
    عرض على GitHub↗6,487
  • chainer/chainerالصورة الرمزية لـ chainer

    chainer/chainer

    5,919عرض على GitHub↗

    Chainer is an open-source deep learning framework built around define-by-run automatic differentiation, where computation graphs are constructed dynamically during forward execution. This imperative approach allows networks to be built using standard Python control flow, with gradients computed automatically through reverse-mode differentiation on the dynamically recorded graph. The framework supports GPU acceleration through a NumPy-compatible array backend with CUDA and cuDNN support, and provides a pluggable device abstraction that lets users switch between CPU and GPU computation without c

    Runs ndarray and autograd computations in native C++ with a thin Python binding.

    Python
    عرض على GitHub↗5,919
  • scriban/scribanالصورة الرمزية لـ scriban

    scriban/scriban

    3,905عرض على GitHub↗

    Scriban is a text templating library and .NET scripting engine used for dynamic text generation. It functions as a template processor and a safe scripting sandbox, providing a secure execution environment that restricts object exposure to prevent unauthorized code execution. The project also includes an abstract syntax tree template parser that allows for programmatic template analysis and modification. The engine features a dedicated Liquid template engine and compatibility mode, allowing it to parse, execute, and convert templates written in Liquid syntax. It distinguishes itself through a

    Provides functions for sorting, reversing, and joining array elements within templates.

    C#handlebarsliquidmustache
    عرض على GitHub↗3,905
  1. Home
  2. Scientific & Mathematical Computing
  3. Array Manipulations
  4. Array Concatenations
  5. General Array Operations

استكشف الوسوم الفرعية

  • Native Array BackendsRuns ndarray computations in C++ with a thin Python binding to reduce overhead compared to pure Python implementations. **Distinct from General Array Operations:** Distinct from General Array Operations: focuses on the performance acceleration via native C++ execution, not the variety of array manipulation functions.