Showing 15 open source projects for "numerical"

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  • 1
    CasADi

    CasADi

    CasADi is a symbolic framework for numeric optimization

    CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT, etc. It can be used in C++, Python, or Matlab/Octave. CasADi's backbone is a symbolic framework implementing forward and reverse modes of AD on expression graphs to construct gradients, large-and-sparse Jacobians, and...
    Downloads: 48 This Week
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  • 2
    ArrayFire

    ArrayFire

    ArrayFire, a general purpose GPU library

    ...Together we can fulfill The ArrayFire Mission under an excellent Code of Conduct that promotes a respectful and friendly building experience. Rigorous benchmarks and tests ensuring top performance and numerical accuracy. Cross-platform compatibility with support for CUDA, OpenCL, and native CPU on Windows, Mac, and Linux. Built-in visualization functions through Forge.
    Downloads: 11 This Week
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  • 3
    Double Conversion

    Double Conversion

    Efficient binary-decimal & decimal-binary conversion routines for IEEE

    ...The library ensures consistent and accurate results for converting between double values and their string representations, avoiding rounding errors and performance bottlenecks common in standard conversion routines. It is optimized for both speed and correctness, making it ideal for numerical computation libraries, serialization systems, and scripting engines. The codebase includes detailed documentation and comprehensive unit tests to validate correctness across various platforms. With flexible build options using SCons, CMake, or Bazel, Double Conversion integrates seamlessly into modern C++ development workflows.
    Downloads: 5 This Week
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  • 4
    mlpack

    mlpack

    mlpack: a scalable C++ machine learning library

    ...In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. Written in C++ and built on the Armadillo linear algebra library, the ensmallen numerical optimization library, and parts of Boost. Aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. mlpack uses CMake as a build system and allows several flexible build configuration options. You can consult any of the CMake tutorials for further documentation, but this tutorial should be enough to get mlpack built and installed.
    Downloads: 0 This Week
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  • 5
    FlashMLA

    FlashMLA

    FlashMLA: Efficient Multi-head Latent Attention Kernels

    FlashMLA is a high-performance decoding kernel library designed especially for Multi-Head Latent Attention (MLA) workloads, targeting NVIDIA Hopper GPU architectures. It provides optimized kernels for MLA decoding, including support for variable-length sequences, helping reduce latency and increase throughput in model inference systems using that attention style. The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to...
    Downloads: 0 This Week
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  • 6
    Octave Forge

    Octave Forge

    A collection of packages providing extra functionality for GNU Octave

    ...The Octave Forge packages expand Octave's core functionality by providing field specific features via Octave's package system. See https://octave.sourceforge.io/packages.php for a list of all available packages. GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. ...
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    Downloads: 1,567 This Week
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  • 7
    Shumai

    Shumai

    Fast Differentiable Tensor Library in JavaScript & TypeScript with Bun

    Shumai is an experimental differentiable tensor library for TypeScript and JavaScript, developed by Facebook Research. It provides a high-performance framework for numerical computing and machine learning within modern JavaScript runtimes. Built on Bun and Flashlight, with ArrayFire as its numerical backend, Shumai brings GPU-accelerated tensor operations, automatic differentiation, and scientific computing tools directly to JavaScript developers. It allows seamless integration of machine learning, deep learning, and custom differentiable programs into web-based or server-side environments without relying on Python frameworks. ...
    Downloads: 0 This Week
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  • 8
    GluCat: Clifford algebra templates

    GluCat: Clifford algebra templates

    Calculation with Clifford algebras: C++ library and Python module

    GluCat is a generic library of C++ templates that implement universal Clifford algebras over the field of real numbers. The PyClical extension module for Python gives users an easy Python scripting interface for calculations in Clifford algebras. The name PyClical is an homage to Pertti Lounesto's CLICAL.
    Downloads: 0 This Week
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  • 9
    Rotations Conversion Library

    Rotations Conversion Library

    Library for working with 3D rotations in C++

    The Rotations Conversion Library (RCL) is a collection of C++ functions that address common computations and numerical handling of rotations in 3D Euclidean space, including support for rotation matrices (`Rotmat`), Quaternions (`Quat`), intrinsic ZYX Euler angles (`Euler`), fused angles (`Fused`) and tilt angles (`Tilt`). In addition to the core competency of being able to convert between each of the representations, operations such as inversion, ZYX yaw extraction, fused yaw extraction, renormalisation, equality detection, vector rotation and much more have been implemented. ...
    Downloads: 0 This Week
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  • 10

    SoAx

    Structure of Arrays of multiple types

    ...By means of C++(11) meta-template programming SoAx achieves maximal performance (efficient use of vector units and cache of modern CPUs) while providing a very convenient user interface (including object-oriented element handling) and flexibility. It has been designed to handle list-like sets of particles (similar to struct {int id; double[3] pos; float[3] vel;};) in the context of high-performance numerical simulations. It can be applied to many other problems. Please check the sample file main.cpp to see examples of code that you can write with SoAx.
    Downloads: 0 This Week
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  • 11
    Attitude Estimator

    Attitude Estimator

    A C++ implementation of a nonlinear 3D IMU fusion algorithm.

    Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms,...
    Downloads: 2 This Week
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  • 12

    math toolkit

    A C++ and Python library for finance, statistics and linear algebra.

    ...Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... And some auxiliary features like random number generators, equation solution, numerical integration, permutation/combination and gcd/lcm etc. It is aimed to be a convenient and handy toolkit to check out your ideas.
    Downloads: 0 This Week
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  • 13

    EGNLA

    Heterogeneous cluster for acceleration of linear algebra computations

    This project deals with a new concept of the heterogeneous grid for acceleration of the numerical linear algebra computing. We design this grid with respect to maximal ratio between cost and computational power. It allows a parallelization of scientific codes with minimal programming effort. We also optimize grid concept to be less sensitive to network parameters.
    Downloads: 0 This Week
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  • 14
    Qpnc is a high level library developed using the Qt4 framework. It provides a set of data containers and operation abstracts used to declare a set of numerical computations, witch in turn are automatically executed in a parallel fashion.
    Downloads: 0 This Week
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  • 15
    Numerikus is an attempt to build a set of numerical libraries written in C/C++, Fortran, Java and C# for single processor and multi-core processors. It wil have from basic functions to Linear Algebra solvers and ODE's and PDE's methods.
    Downloads: 0 This Week
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