Showing 1794 open source projects for "linux for mac"

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  • 1
    GLM

    GLM

    OpenGL Mathematics (GLM)

    OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specifications. GLM provides classes and functions designed and implemented with the same naming conventions and functionality than GLSL so that anyone who knows GLSL, can use GLM as well in C++. This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations,...
    Downloads: 74 This Week
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  • 2
    MathJax

    MathJax

    Beautiful and accessible math in all browsers

    A JavaScript display engine for mathematics that works in all browsers. No more setup for readers. It just works. MathJax provides tools to transform your content from traditional print sources into modern, accessible web content and ePubs. The MathJax team is available to train your staff in using our resources for preparing online teaching material and creating accessible STEM content. MathJax is highly flexible and can be tailored to the needs of your institution by creating customized...
    Downloads: 17 This Week
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  • 3
    PyTorch Geometric

    PyTorch Geometric

    Geometric deep learning extension library for PyTorch

    It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of...
    Downloads: 15 This Week
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  • 4
    SymPy

    SymPy

    A computer algebra system written in pure Python

    SymPy is an open source Python library for symbolic mathematics. Its goal is to become a full-featured computer algebra system (CAS) while maintaining the simplicity of its code. Written entirely in Python, SymPy is easy to use, comprehensible and easily extensible. It’s also very lightweight as it solely depends on mpmath, a pure Python library for arbitrary floating point arithmetic. SymPy has participated in every Google Summer of Code since 2007 and because of this has continuously...
    Downloads: 11 This Week
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  • 5
    SciPy

    SciPy

    SciPy library main repository

    This is the main repository for the SciPy library, one of the core packages that make up the SciPy stack. SciPy is an open source software used in the fields of mathematics, science, and engineering, with modules for statistics, optimization, integration, linear algebra, signal and image processing, and many more. The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built...
    Downloads: 6 This Week
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  • 6
    S2 Geometry

    S2 Geometry

    Computational geometry and spatial indexing on the sphere

    s2geometry is Google’s open source geometry library designed for representing, analyzing, and manipulating geometric shapes on a sphere rather than a flat plane. This makes it particularly suited for applications involving geospatial data, such as mapping, spatial indexing, and geographic information systems (GIS). The library provides a robust mathematical framework for spherical geometry, allowing developers to work with polygons, points, and regions on the Earth’s surface using consistent...
    Downloads: 4 This Week
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  • 7
    MCM-ICM

    MCM-ICM

    Mathematical Contest resources

    MCM-ICM is a curated archive of Outstanding Winner (“O-奖/特等奖”) solution papers from the Mathematical Contest in Modeling and the Interdisciplinary Contest in Modeling, spanning the early 2000s through recent years. The repository is organized by year, with per-year folders that collect the top-ranked reports and, in later years, additional materials such as problem statements or problem notes when available. It has evolved from a single-maintainer project into a collaborative effort, with...
    Downloads: 4 This Week
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  • 8
    DifferentialEquations.jl

    DifferentialEquations.jl

    Multi-language suite for high-performance solvers of equations

    This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations of solvers for various differential equations. The well-optimized DifferentialEquations solvers benchmark as some of the fastest implementations, using classic algorithms and ones from recent research which routinely outperform the “standard” C/Fortran methods, and include algorithms optimized...
    Downloads: 4 This Week
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  • 9
    Manim Python

    Manim Python

    Animation engine for explanatory math videos

    Manim is a Python library and animation engine designed for creating precise, programmatic mathematical visuals—famously used by 3Blue1Brown. It enables developers and educators to script animations using code and produce high-quality explanatory math videos.
    Downloads: 2 This Week
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  • 10
    OR-Tools - Google Optimization Tools

    OR-Tools - Google Optimization Tools

    Google's software suite for combinatorial optimization

    Google Optimization Tools, also known as OR-Tools is an open-source, fast and portable software suite for solving combinatorial optimization problems. These encompass problems in vehicle routing, flows, integer and linear programming, and constraint programming. This suite contains a number of solvers, namely: a constraint programming solver; a linear programming solver; wrappers for commercial solvers (like Gurobi or CPLEX) and other open source solvers (SCIP, GLPK, etc.); among others....
    Downloads: 3 This Week
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  • 11
    JuMP

    JuMP

    Modeling language for Mathematical Optimization

    JuMP is a modeling language and collection of supporting packages for mathematical optimization in Julia. JuMP makes it easy to formulate and solve a range of problem classes, including linear programs, integer programs, conic programs, semidefinite programs, and constrained nonlinear programs. JuMP is used to solve large-scale inventory routing problems at Renault, schedule trains at Thales Inc., plan power grid expansion at PSR, and route school buses.
    Downloads: 1 This Week
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  • 12
    Handcalcs

    Handcalcs

    Python library for converting Python calculations into rendered latex

    Handcalcs is a Python library that auto-renders calculation code in Jupyter notebooks or LaTeX documents with step-by-step symbolic substitution, giving output a “handwritten” feel. It supports cell magics and auto-LaTeX generation via configurable output options.
    Downloads: 1 This Week
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  • 13
    Hecke.jl

    Hecke.jl

    Computational algebraic number theory

    Hecke is a software package for algebraic number theory maintained by Claus Fieker, Tommy Hofmann and Carlo Sircana. It is written in julia and is based on the computer algebra packages Nemo and AbstractAlgebra. Hecke is part of the OSCAR project and the development is supported by the Deutsche Forschungsgemeinschaft DFG within the Collaborative Research Center TRR 195.
    Downloads: 1 This Week
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  • 14
    Oscar.jl

    Oscar.jl

    A comprehensive open source computer algebra system for computations

    Welcome to the OSCAR project, a visionary new computer algebra system that combines the capabilities of four cornerstone systems: GAP, Polymake, Antic and Singular. OSCAR requires Julia 1.6 or newer. In principle it can be installed and used like any other Julia package; doing so will take a couple of minutes. A comprehensive open source computer algebra system for computations in algebra, geometry, and number theory.
    Downloads: 1 This Week
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  • 15
    Mathematics Dataset

    Mathematics Dataset

    This dataset code generates mathematical question and answer pairs

    The Mathematics Dataset, developed by Google DeepMind, is a synthetic dataset designed to evaluate and train machine learning models on mathematical reasoning and symbolic manipulation. It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear...
    Downloads: 2 This Week
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  • 16
    FieldTrip

    FieldTrip

    The MATLAB toolbox for MEG, EEG and iEEG analysis

    FieldTrip is the MATLAB software toolbox for MEG, EEG and iEEG analysis, which is released free of charge as open source software under the GNU general public license. FieldTrip is developed by members and collaborators of the Donders Institute for Brain, Cognition, and Behaviour at Radboud University, Nijmegen, the Netherlands. The toolbox offers advanced analysis methods of MEG, EEG, and invasive electrophysiological data, such as time-frequency analysis, source reconstruction using...
    Downloads: 2 This Week
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  • 17
    Statistics

    Statistics

    Detects usage of unsafe Rust in a Rust crate and its dependencies

    A tool that lists statistics related to the usage of unsafe Rust code in a Rust crate and all its dependencies.
    Downloads: 0 This Week
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  • 18
    PyTensor

    PyTensor

    Python library for defining and optimizing mathematical expressions

    PyTensor is a fork of Aesara, a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays. PyTensor is based on Theano, which has been powering large-scale computationally intensive scientific investigations since 2007. A hackable, pure-Python codebase. Extensible graph framework is suitable for rapid development of custom operators and symbolic optimizations. Implements an extensible graph transpilation framework that...
    Downloads: 1 This Week
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  • 19
    SymbolicNumericIntegration.jl

    SymbolicNumericIntegration.jl

    SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

    SymbolicNumericIntegration.jl is a hybrid symbolic/numerical integration package that works on the Julia Symbolics expressions.
    Downloads: 0 This Week
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  • 20
    OrdinaryDiffEq.jl

    OrdinaryDiffEq.jl

    High performance ordinary differential equation (ODE)

    This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations of solvers for various differential equations. The well-optimized DifferentialEquations solvers benchmark as some of the fastest implementations, using classic algorithms and ones from recent research that routinely outperform the “standard” C/Fortran methods, and include algorithms optimized...
    Downloads: 1 This Week
    Last Update:
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  • 21
    SuiteSparseGraphBLAS.jl

    SuiteSparseGraphBLAS.jl

    Sparse, General Linear Algebra for Graphs

    A fast, general sparse linear algebra and graph computation package, based on SuiteSparse:GraphBLAS.
    Downloads: 0 This Week
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  • 22
    SpecialFunctions.jl

    SpecialFunctions.jl

    Special mathematical functions in Julia

    Special mathematical functions in Julia, include Bessel, Hankel, Airy, error, Dawson, exponential (or sine and cosine) integrals, eta, zeta, digamma, inverse digamma, trigamma, and polygamma functions. Most of these functions were formerly part of Base in early versions of Julia.
    Downloads: 0 This Week
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  • 23
    BasicBSpline.jl

    BasicBSpline.jl

    Basic (mathematical) operations for B-spline functions

    Basic (mathematical) operations for B-spline functions and related things with Julia.
    Downloads: 0 This Week
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  • 24
    FourierFlows.jl

    FourierFlows.jl

    Tools for building fast, hackable, pseudospectral equation solvers

    This software provides tools for partial differential equations on periodic domains using Fourier-based pseudospectral methods. A central intent of the software's design is also to provide a framework for writing new, fast solvers for new physical problems. The code is written in Julia.
    Downloads: 0 This Week
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  • 25
    KrylovKit.jl

    KrylovKit.jl

    Krylov methods for linear problems, eigenvalues, and singular values

    A Julia package collecting a number of Krylov-based algorithms for linear problems, singular value and eigenvalue problems and the application of functions of linear maps or operators to vectors.
    Downloads: 0 This Week
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