4 个仓库
Element-wise logical operations designed for compatibility with computational graphs.
Distinguishing note: Focuses on compilation-safe logical operations, distinct from standard language short-circuiting logic.
Explore 4 awesome GitHub repositories matching data & databases · Logical Array Operations. Refine with filters or upvote what's useful.
This project is a high-performance numerical computing library designed for large-scale scientific and machine learning workloads. It functions as an automatic differentiation framework and a just-in-time compilation engine, transforming high-level Python code into optimized machine instructions. By enforcing pure functional programming patterns and immutable array semantics, the library ensures that mathematical functions remain compatible with automated graph transformations and symbolic differentiation. The platform distinguishes itself through its distributed array computing capabilities,
Executes element-wise logical operations on arrays that remain compatible with compilation and avoid reliance on standard language-specific short-circuiting.
This project is a machine learning array framework and tensor computation library designed for high-performance numerical computing. It provides a comprehensive suite of tools for constructing and training neural networks, featuring an automatic differentiation engine that facilitates gradient-based optimization and complex mathematical modeling. The library distinguishes itself through a unified memory architecture that allows data to be shared across CPU and GPU devices without explicit copies, significantly reducing data movement overhead. Its execution model relies on a lazy evaluation en
Evaluates logical conditions across array axes to produce boolean masks for computational graphs.
This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming. It serves as a centralized repository for algorithmic theory, data structures, and mathematical techniques, providing a structured reference for informatics and collegiate programming competitions. The project distinguishes itself by integrating educational content with a robust suite of automation utilities. It provides a complete workflow for competitive programming, including tools for automated test case generation, solution verification, and direct interaction with onlin
Provides bitwise manipulation utilities for high-performance integer processing and state representation.
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。
Provides element-wise logical operations to evaluate conditions and filter multi-dimensional data.