Showing 244 open source projects for "vectors"

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  • 1
    Test Vector Generator (TVG) is a project-based MDI application. Basically, TVG, providing a software tester with GUI to generate combinatorial Test Vectors based on the input-output relationship, N-way coverage or randomly. TVG is managed by Software Eva
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  • 2

    opencal

    Open Computer Animation Library

    OpenCAL (Open Computer Animation Library) is a cross-platform animation library, written in C++. It contains utilities for animation (matrices, vectors, quaternions, ...), and animation techniques to be used (key framing, rigid body simulation, ...)
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  • 3
    Godsend is a command line program written in PHP which allows one to perform calculations on physical quantities. These may be vectors or scalars and carry units. It includes numerous physical constants and performs unit conversions automatically.
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  • 4
    An RPN calculator for vectors of arbitrary dimension. Supports multiple undo/redo, programmable macros and variables. Saves/loads stack to/from disk. Lots of built-in scalar, vector, stack functionality.
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  • 5
    CryptoPy is a pure python implmentation of cryptographic algorithms and applications. The algorithms are developed for readability more than speed. The collection now includes IEEE 802.11i specific algorithms that generated the test vectors for 802.11i.
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  • 6
    etLAP - expression template Linear Algebra Package (aka "excessively templated LAP") Extremely lightweight C++ library providing real and complex Matrices and Vectors with simple and intuitive operations offering ultimate speed.
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  • 7
    GTK based RPN calculator for Linux/Unix. Currently under development, but supports Real Numbers, Complex Numbers, Matrices, and Vectors
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  • 8
    Rascal, the Advanced Scientific CALculator, is a platform independent modular calculator. Based on modules for integer, doubles, strings, vectors and matrices it can be easily extended with existing C or C++ code.
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  • 9
    Matrix2LaTeX is a program that produces LaTeX code required to typeset matrices/vectors. It supports a set of predifined matrices/vectors such as Hilbert, unitary and diagonal.
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  • 10
    Linear algebra C++ library built upon a tensor class template that can be used to represent tensors of ranks 0 - scalaras, 1 - vectors, 2 - matrices, 3 - tensors of rank 3, etc. It also includes an interface to BLAS and LAPACK subroutines.
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  • 11
    VectTens

    VectTens

    A library for handling vectors, tensors, and more.

    VectTens is an object-oriented numerical library designed to manipulate vectors, tensors, and other mathematical quantities in a simple and efficient manner.
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  • 12
    ArtGarden is a system of tools for making programmed geometric (vector based) art. The interface is a set of classes in java and/or python that facilitate the creation of large sets of vectors for Gallery artwork. A viewer could use Ghostscript
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  • 13
    The goal of an Open Math Library is to provide the basic set of math-related classes and functions for 3d engine development. Currently the library has implementations for vectors (2 to 4 dimensional), matrices, planes and quaternions.
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  • 14
    This project is an API I have created over the years and ported to several languages. It contains tools, structures, and algorithms I have found useful in graphics, robotics, and machine vision applicaitons. Points, Lines, Vectors, etc.
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  • 15

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. ...
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  • 16

    Salamis

    An in-memory vector database written in C++

    # Salamis Salamis is a small C++17 vector database prototype. It keeps vectors in memory for fast exact nearest-neighbor search and persists the collection to a physical binary store on disk. ## License Salamis is licensed under the GNU General Public License version 3.0 only. See [LICENSE](LICENSE) for the full license text. ## Features - In-memory vector map keyed by string ids - Physical binary backing file that reloads on startup - Exact `top-k` search with cosine similarity, L2 distance, or dot product - Cross-platform build and storage path handling for Linux and Windows - Snapshot writes through a temporary file followed by replacement - Dependency-free CMake build - Minimal CLI and unit tests - User and admin web consoles for distributed deployments - Management CLI for node inventory, shard ownership, and health checks ## Modules - `SalmisCore`: local in-memory vector store, search, and physical persistence - `SalmisCluster`: distributed shard own
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  • 17
    bge-large-en-v1.5

    bge-large-en-v1.5

    BGE-Large v1.5: High-accuracy English embedding model for retrieval

    BAAI/bge-large-en-v1.5 is a powerful English sentence embedding model designed by the Beijing Academy of Artificial Intelligence to enhance retrieval-augmented language model systems. It uses a BERT-based architecture fine-tuned to produce high-quality dense vector representations optimized for sentence similarity, search, and retrieval. This model is part of the BGE (BAAI General Embedding) family and delivers improved similarity distribution and state-of-the-art results on the MTEB...
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  • 18
    GigaChat 3 Ultra

    GigaChat 3 Ultra

    High-performance MoE model with MLA, MTP, and multilingual reasoning

    GigaChat 3 Ultra is a flagship instruct-model built on a custom Mixture-of-Experts architecture with 702B total and 36B active parameters. It leverages Multi-head Latent Attention to compress the KV cache into latent vectors, dramatically reducing memory demand and improving inference speed at scale. The model also employs Multi-Token Prediction, enabling multi-step token generation in a single pass for up to 40% faster output through speculative and parallel decoding techniques. Its training corpus incorporates ten languages, enriched with books, academic sources, code datasets, mathematical tasks, and more than 5.5 trillion tokens of high-quality synthetic data. ...
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  • 19
    Quick-Safe

    Quick-Safe

    Generate strong and secure passwords with QuickSafe ,

    QuickSafe is an open-source password generator designed to bolster online security by generating robust and secure passwords. This project addresses the growing need for enhanced password strength in the face of escalating cyber threats. QuickSafe empowers users to create highly secure passwords through a diverse character set, including uppercase and lowercase letters, numbers, symbols, and more. With the increasing frequency of online security breaches, having a reliable password generator...
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