Showing 244 open source projects for "vectors"

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  • 1
    pgvecto.rs

    pgvecto.rs

    Vector database plugin for Postgres, written in Rust

    pgvecto.rs is a Postgres extension that provides vector similarity search functions. It is written in Rust and based on pgrx. It is currently under heavy development, please take care when using it in production. pgvecto.rs is a Postgres extension, which means that you can use it directly within your existing database. This makes it easy to integrate into your existing workflows and applications. pgvecto.rs supports filtering. You can set conditions when searching or retrieving points. This...
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  • 2
    BertViz

    BertViz

    BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

    ...It is based on the excellent Tensor2Tensor visualization tool. The model view shows a bird's-eye view of attention across all layers and heads. The neuron view visualizes individual neurons in the query and key vectors and shows how they are used to compute attention.
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  • 3
    CyberPPT

    CyberPPT

    A Codex Skill for generating high-density, editable PowerPoints

    ...Users select from eight fixed visual systems, after which the skill plans each slide’s hierarchy, grid, charts, palette, and information density. Image-generation blueprints guide reconstruction while native text, shapes, tables, charts, and vectors preserve core editability. Multiple quality gates inspect structure, visuals, overflow, spatial alignment, curves, and editable elements. Delivery includes the PPTX, rendered previews, manifests, and QA results, with failed hard gates blocking completion.
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  • 4
    Style-Bert-VITS2

    Style-Bert-VITS2

    Style-Bert-VITS2: Bert-VITS2 with more controllable voice styles

    Style-Bert-VITS2 is a text-to-speech system based on Bert-VITS2 that focuses on highly controllable voice styles and emotional expression. It takes the original Bert-VITS2 v2.1 and its Japanese-Extra variant and extends them so you can control emotion and speaking style with fine-grained intensity, not just choose a generic tone. The project targets both power users and beginners: Windows users without Git or Python can install and run it using bundled .bat scripts, while advanced users can...
    Downloads: 2 This Week
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  • 5
    ZeusDB Vector Database

    ZeusDB Vector Database

    Blazing-fast vector DB with similarity search and metadata filtering

    ZeusDB is a vector database built for fast, scalable similarity search with strong production ergonomics. It combines high-performance approximate nearest neighbor indexes with clean APIs and metadata filtering so applications can retrieve semantically relevant items at low latency. The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. Developers get multiple ingestion paths—batch,...
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  • 6
    PowerUpSQL

    PowerUpSQL

    A PowerShell toolkit for attacking SQL Server

    PowerUpSQL is a PowerShell toolkit focused on auditing, discovering, and post-exploitation activities for Microsoft SQL Server environments. It bundles a wide range of functions that help enumerate SQL Server instances, configuration settings, and potentially risky features so operators and testers can quickly understand an instance's security posture. The project is aimed at internal penetration testers and red-teamers but is also useful for database administrators and defenders who want to...
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  • 7
    DeepCTR-Torch

    DeepCTR-Torch

    Easy-to-use,Modular and Extendible package of deep-learning models

    ...The data in the CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Low-order Extractor learns feature interaction through product between vectors. Factorization-Machine and it’s variants are widely used to learn the low-order feature interaction. High-order Extractor learns feature combination through complex neural network functions like MLP, Cross Net, etc.
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  • 8
    LÖVR

    LÖVR

    Lua Virtual Reality engine

    An open-source framework for rapidly building immersive 3D experiences. You can use LÖVR to easily create VR experiences without much setup or programming experience. The framework is tiny, fast, open-source, and supports lots of different platforms and devices. Runs on Windows, Mac, Linux, Android, WebXR. Supports Vive/Index, Oculus Rift/Quest, Pico, Windows MR, and has a VR simulator. Simple VR scenes can be created in just a few lines of Lua. Writen in C99 and scripted with LuaJIT,...
    Downloads: 1 This Week
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  • 9
    spacy-transformers

    spacy-transformers

    Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

    ...These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples. You can convert word vectors from popular tools like FastText and Gensim, or you can load in any pre trained transformer model if you install spacy-transformers. You can also do your own language model pretraining via the spacy pre train command. You can even share your transformer or another contextual embedding model across multiple components, which can make long pipelines several times more efficient. ...
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  • 10
    Parsedown

    Parsedown

    Better markdown parser in PHP

    Parsedown is capable of escaping user-input within the HTML that it generates. Additionally Parsedown will apply sanitisation to additional scripting vectors (such as scripting link destinations) that are introduced by the markdown syntax itself. If you wish to allow HTML within untrusted user-input, but still want output to be free from XSS it is recommended that you make use of a HTML sanitiser that allows HTML tags to be whitelisted, like HTML Purifier. In both cases you should strongly consider employing defence-in-depth measures, like deploying a Content-Security-Policy (a browser security feature) so that your page is likely to be safe even if an attacker finds a vulnerability in one of the first lines of defence. ...
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  • 11
    FlatCC FlatBuffers in C for C

    FlatCC FlatBuffers in C for C

    FlatBuffers Compiler and Library in C for C

    ...With concurrent Ninja builds, a small client project can build flatcc with libraries, generate schema code, link the project and execute a test case in a few seconds, produce binaries between 15K and 60K, read small buffers in 30ns, build FlatBuffers in about 600ns, and with a larger executable also handle optional json parsing or printing in less than 2 us for a 10 field mixed type message. The JSON parser may change the interface for parsing union vectors in a future release which requires code generation to match library versions. This project builds flatcc, a compiler that generates FlatBuffers code for C given a FlatBuffer schema file. This introduction also creates a separate test project with the traditional monster example, here in a C version. The setup script builds flatcc using CMake, then creates a test project directory with the monster example.
    Downloads: 0 This Week
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  • 12
    txtai

    txtai

    Build AI-powered semantic search applications

    txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Traditional search systems use keywords to find data. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings). Innovation is happening at a rapid...
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  • 13
    Weaviate

    Weaviate

    Weaviate is a cloud-native, modular, real-time vector search engine

    ...It offers Semantic Search, Question-Answer-Extraction, Classification, Customizable Models (PyTorch/TensorFlow/Keras), and more. Built from scratch in Go, Weaviate stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
    Downloads: 0 This Week
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  • 14
    Winston.jl

    Winston.jl

    2D plotting for Julia

    2D plotting for Julia. Winston offers an easy-to-use plot command to create figures without any fuss. After Winston is loaded by typing using Winston, the most basic plot can be created.
    Downloads: 0 This Week
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  • 15
    xsser

    xsser

    XSSer: Cross Site Scripter

    Cross Site "Scripter" is an automatic -framework- to detect, exploit and report XSS vulnerabilities in web-based applications. XSSer v1.8-3.tar.gz -> md5: 3058a17a1599b0ece5c722fd2e7ff455 XSSer v1.8-3.zip -> md5:840d94fe8d297ec3bbea70fb3bd57f0e
    Downloads: 3 This Week
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  • 16
    Armadillo

    Armadillo

    fast C++ library for linear algebra & scientific computing

    * Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...
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    Downloads: 3,970 This Week
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  • 17
    java symbolic computing library and math editor, with : polynomial system solving, vectors & matrices, factorization, derivatives, integrals (rational functions), boolean algebra, simplification, MathML output, java code generation, geometric algebra
    Downloads: 0 This Week
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  • 18

    Modbus-Monitor-Green

    Auto Serial Terminal with scripts for tasks automation

    The Modbus Monitor Green Studio is a kinda visual serial termial software over Ethernet TCP, WiFi, Serial Port, Bluetooth with Auto Terminal Language ATeL Alias is Modbus Terminal, Auto Terminal, SCADA, Terminal Emulator This proram helps you to focus on a business logic and strategy and do not learn python/C++/C# and tricky serial termianl emulator commands.
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  • 19

    octave-ocl

    OpenCL support for GNU Octave

    The Package is installable in GNU Octave and offers OpenCL support for parallelization of numerical computations. It is most effective for computations which are based on large vectors or n-dimensional arrays of numbers, and mostly (but not limited to) identical element-wise operations. The user can select which available OpenCL hardware and drivers are to be used. The Package offers new numeric data types with many built-in operations (e.g., overloaded operators). It is flexibly extendible by user-written OpenCL C programs. ...
    Downloads: 1 This Week
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  • 20

    Largest Generic Hash and HMAC Program

    57 Hash Functions In One Program, plus each with HMAC or KMAC

    FEHASHMAC is the largest collection of publicly known hash algorithms integrated into a command-line utility. FEHASHMAC contains a set of known test vectors and results for each algorithm such that the correct implementation for each hardware platform and compiler version can directly be verified. Currently 57 hash algorithms like sha1 sha224 sha256 sha384 sha512 and variants, sha3 and shake, all SHA3 finalists and blake3, md2 md4 md5 md6, rmd128 rmd160 rmd256 rmd320, whirl gost lash160 lash256 lash384 lash512 tiger2 and RFC 2104 HMAC and KMAC support are included, plus SHA3 extensions kmac128, kmac256, kmacxof128, kmacxof256 for message.
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    Downloads: 2 This Week
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  • 21
    gendasm

    gendasm

    Generic Code-Seeking Diassembler with Fuzzy-Function Analyzer

    GenDasm is a Generic Code-Seeking Diassembler engine. It allows you to enter known starting vectors for a given code image for the micro. It will disassemble the code and follow through branches to assist in the separation of code and data. Its included Fuzzy Function Analyzer companion uses a DNA Sequence Alignment Algorithm to locate similar code in multiple binaries to facilitate reverse-engineering and/or code recovery.
    Downloads: 0 This Week
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  • 22

    QuadRay-engine

    Realtime raytracer using SIMD on ARM, MIPS, PPC and x86

    ...At present, Intel SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 (32/64-bit x86 ISAs), ARMv7 NEON/NEONv2, ARMv8 AArch32 and AArch64 NEON, SVE (32/64-bit ARM ISAs), MIPS 32/64-bit r5/r6 MSA and POWER 32/64-bit VMX/VSX (little/big-endian ISAs) are mostly implemented (/w horizontal reductions) although scalar improvements, wider SIMD vectors with zeroing/merging predicates in 3/4-operand instructions are planned as extensions to current 2/3-operand SPMD-driven vertical SIMD ISA. See README file.
    Downloads: 1 This Week
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  • 23

    UniSIMD-assembler

    SIMD macro assembler unified for ARM, MIPS, PPC and x86

    ...At present, Intel SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 (32/64-bit x86 ISAs), ARMv7 NEON/NEONv2, ARMv8 AArch32 and AArch64 NEON, SVE (32/64-bit ARM ISAs), MIPS 32/64-bit r5/r6 MSA and POWER 32/64-bit VMX/VSX (little/big-endian ISAs) are mostly implemented (/w horizontal reductions) although scalar improvements, wider SIMD vectors with zeroing/merging predicates in 3/4-operand instructions are planned as extensions to current 2/3-operand SPMD-driven vertical SIMD ISA. See README file.
    Downloads: 0 This Week
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  • 24
    Featuretools

    Featuretools

    An open source python library for automated feature engineering

    ...You can combine your raw data with what you know about your data to build meaningful features for machine learning and predictive modeling. Featuretools provides APIs to ensure only valid data is used for calculations, keeping your feature vectors safe from common label leakage problems. You can specify prediction times row-by-row. Featuretools come with a library of low-level functions that can be stacked to create features. You can build and share your own custom primitives to be reused on any dataset. Featuretools works alongside tools you already use to build machine learning pipelines. ...
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  • 25

    LakhCleanAnalysis

    Tools to analyze the Lakh Clean Midi Dataset

    ...Presently, we are analyzing the note onset distribution, the pitch class distribution, and the midi program assignments for the entire dataset. Each of these entities are represented by a separate vector for each midi file. These vectors were clustered using the kmeans and HDBSCAN algorithms. The vectors (midi files) were projected into a two dimensional space using the UMAP algorithm. A user interface, umapPlot.tcl is provided to explore this space.
    Downloads: 0 This Week
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