awesome-repositories.com
Blog
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectDespreCum realizăm clasamentulPresăServer MCP
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
Experience-Monks avatar

Experience-Monks/math-as-code

0
View on GitHub↗
15,482 stele·1,089 fork-uri·MIT·9 vizualizări

Math As Code

This project is a mathematics programming pattern library and translation guide designed to map academic mathematical symbols and formulas into programmable logic. It serves as a reference for converting complex notations into software implementations.

The resource provides mapping guides for translating calculus, linear algebra, and set theory into iterative loops, functional code, and boolean expressions. It includes specific patterns for implementing piecewise functions, matrix operations, and standard mathematical operators using conditional logic and built-in language functions.

The library covers a broad range of capabilities including the conversion of summation and derivative symbols into loops, the translation of vector and matrix notations for dot products and Euclidean norms, and the mapping of set membership constraints to data structures.

Features

  • Formula-to-Code Translation Guides - Serves as a comprehensive cheat-sheet for implementing mathematical formulas and piecewise functions using programming logic.
  • Symbol-to-Logic Mappings - Translates academic mathematical notation into equivalent programming constructs by mapping symbols to iterative patterns.
  • Logical Set Mappings - Translates logical operators and set membership constraints into boolean expressions and data structures.
  • Set Theory Logic Mappings - Converts logical operators and set membership constraints into boolean expressions.
  • Logic Expression Mappings - Translates logical operators and set membership constraints into standard programming boolean expressions.
  • Algorithmic Notation Translations - Converts piecewise functions and standard mathematical operators into conditional logic.
  • Calculus Logic Translations - Converts summation, product, and derivative symbols into iterative loops and functional structures.
  • Formula Implementation Guides - Translates academic mathematical symbols and notations into programmable logic to implement formulas.
  • Formula-to-Code Translations - Converts academic mathematical symbols into programmable logic to implement complex formulas in software.
  • Linear Algebra Routines - Implements fundamental linear algebra operations like dot products and Euclidean norms.
  • Notation-to-Code Mappings - Maps mathematical symbols from academic contexts to equivalent programmable logic.
  • Algorithmic Templates - Provides reusable code patterns that standardize the implementation of complex mathematical operations.
  • Notation-to-Code Mappings - Provides a mapping guide to translate calculus and linear algebra notations into programmable loops and functional code.
  • Programming Patterns - Provides a library of predefined code structures that represent complex mathematical operations for software implementation.
  • Set Theory Algorithms - Implements computational procedures for performing operations on mathematical sets.
  • Functional Logic Translations - Maps piecewise functions and set operations into conditional boolean expressions and data structures.
  • Notation-to-Loop Conversions - Transforms calculus notations such as summations and products into programmable iterative loops.
  • Notation Converters - Provides utilities for identifying mathematical structures and converting them into software loop structures.
  • Notation Translation References - Offers a detailed reference for converting academic mathematical symbols into programmable software logic.
  • Cheat Sheets - Provides a concise reference guide for translating calculus, linear algebra, and set theory into code.
  • Mathematical Function Implementations - Implements algebraic and numerical functions, including piecewise functions, using conditional logic.
  • Logic Mappings - Maps mathematical set membership and logical operators to programmable boolean expressions and data structures.
  • Mathematics for Graphics - Reference guide for translating mathematical notation into code.

Istoric stele

Graficul istoricului de stele pentru experience-monks/math-as-codeGraficul istoricului de stele pentru experience-monks/math-as-code

Căutare AI

Explorează mai multe repository-uri excelente

Descrie ce ai nevoie în limbaj simplu — AI-ul sortează mii de proiecte open source selectate în funcție de relevanță.

Start searching with AI

Alternative open-source pentru Math As Code

Proiecte open-source similare, clasificate după numărul de funcționalități comune cu Math As Code.
  • mingchaozhu/deeplearningAvatar MingchaoZhu

    MingchaoZhu/DeepLearning

    7,679Vezi pe GitHub↗

    This project is a deep learning implementation library and neural network theory repository. It translates mathematical derivations from textbooks and literature into functional Python code to demonstrate how deep learning algorithms work. The codebase focuses on low-level algorithm implementation by using numerical libraries instead of high-level deep learning frameworks. This approach maps theoretical mathematical proofs to executable functions to verify principles and expose the underlying arithmetic and data flow of neural networks. The project covers the implementation of deep learning

    Pythonbayesiandeep-learningensemble-learning
    Vezi pe GitHub↗7,679
  • alibaba/mnnAvatar alibaba

    alibaba/MNN

    14,242Vezi pe GitHub↗

    MNN is a high-performance inference engine and framework designed for on-device machine learning. It provides a comprehensive environment for executing, optimizing, and deploying neural network models directly on mobile and resource-constrained edge devices. The framework distinguishes itself through a robust model optimization toolkit that supports quantization, compression, and structural graph manipulation to minimize memory footprint and maximize execution speed. It features a modular architecture that abstracts hardware-specific backends, allowing models to run efficiently across diverse

    C++armconvolutiondeep-learning
    Vezi pe GitHub↗14,242
  • d2l-ai/d2l-enAvatar d2l-ai

    d2l-ai/d2l-en

    29,001Vezi pe GitHub↗

    This project is an educational platform and research toolkit designed to teach deep learning through a combination of mathematical theory, visual diagrams, and executable code. It provides a comprehensive environment for building, training, and evaluating neural networks, grounding complex concepts in interactive computational notebooks that allow for hands-on experimentation. The framework distinguishes itself by interleaving theoretical foundations—including linear algebra, calculus, and probability—with practical implementations across multiple industry-standard libraries. It supports flex

    Pythonbookcomputer-visiondata-science
    Vezi pe GitHub↗29,001
  • greyireland/algorithm-patternAvatar greyireland

    greyireland/algorithm-pattern

    15,465Vezi pe GitHub↗

    This project is an algorithm template library and coding interview study guide providing reusable code patterns for common data structures and algorithms. It serves as a reference for optimized strategies and a structured learning path to build proficiency in algorithmic problem solving and competitive programming. The library focuses on standardized implementations of key algorithmic patterns, including sliding windows, backtracking, dynamic programming, and binary search. It provides specific templates for managing binary search trees, searching rotated sorted arrays, and executing divide-a

    Goalgoalgorithmleetcode
    Vezi pe GitHub↗15,465
Vezi toate cele 30 alternative pentru Math As Code→

Întrebări frecvente

Ce face experience-monks/math-as-code?

This project is a mathematics programming pattern library and translation guide designed to map academic mathematical symbols and formulas into programmable logic. It serves as a reference for converting complex notations into software implementations.

Care sunt principalele funcționalități ale experience-monks/math-as-code?

Principalele funcționalități ale experience-monks/math-as-code sunt: Formula-to-Code Translation Guides, Symbol-to-Logic Mappings, Logical Set Mappings, Set Theory Logic Mappings, Logic Expression Mappings, Algorithmic Notation Translations, Calculus Logic Translations, Formula Implementation Guides.

Care sunt câteva alternative open-source pentru experience-monks/math-as-code?

Alternativele open-source pentru experience-monks/math-as-code includ: mingchaozhu/deeplearning — This project is a deep learning implementation library and neural network theory repository. It translates… alibaba/mnn — MNN is a high-performance inference engine and framework designed for on-device machine learning. It provides a… d2l-ai/d2l-en — This project is an educational platform and research toolkit designed to teach deep learning through a combination of… greyireland/algorithm-pattern — This project is an algorithm template library and coding interview study guide providing reusable code patterns for… deckarep/golang-set — This project is a set theory library for Go that provides a data structure for storing unique elements of any… connorferster/handcalcs — handcalcs is a mathematical documentation generator and Python LaTeX calculation renderer. It serves as an automated…