Search Results for "vectors"
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Showing 72 open source projects for "vectors"
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Faiss
Library for efficient similarity search and clustering dense vectors
...Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. Vectors that are similar to a query vector are those that have the lowest L2 distance or the highest dot product with the query vector. It also supports cosine similarity, since this is a dot product on normalized vectors. -
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purrr
A functional programming toolkit for R
purrr enhances R’s functional programming capabilities by providing a consistent set of tools for working with lists and vectors, enabling safer and more expressive iteration compared to base R’s loop functions. -
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spaCy
Industrial-strength Natural Language Processing (NLP)
...Since its inception it was designed to be used for real world applications-- for building real products and gathering real insights. It comes with pretrained statistical models and word vectors, convolutional neural network models, easy deep learning integration and so much more. spaCy is the fastest syntactic parser in the world according to independent benchmarks, with an accuracy within 1% of the best available. It's blazing fast, easy to install and comes with a simple and productive API. -
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Pterodactyl Panel
Pterodactyl® is a free, open-source game server management panel
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StaticArrays.jl
Statically sized arrays for Julia
StaticArrays.jl is a Julia package that provides statically sized arrays with fast, stack-allocated memory storage and optimized performance for small array computations. It is particularly useful in numerical computing where small fixed-size matrices or vectors are used frequently, such as in robotics, physics simulations, or linear algebra. StaticArrays eliminate dynamic memory allocation overhead and enable compile-time optimizations for performance close to hand-written loops. -
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Objeck
Objeck is a modern object-oriented programming language
General-purpose object-oriented and functional programming language. Designed to be intuitive, lightweight, cross-platform and fast. The Objeck compiler produces two types of binaries. The first is an executable and the second type is a library. Libraries can be linked into executables by passing the names of libraries to the compiler. Objeck can be built for a variety of targets. The language is implemented in C++, assembly (i.e., generated machine code) and assisted by code generators for... -
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JOML
A Java math library for OpenGL rendering calculations
JOML is a high-performance, lightweight math library designed for 3D graphics applications in Java, particularly those using OpenGL, Vulkan, or LWJGL. It provides a complete suite of vector, matrix, quaternion, and geometry operations essential for real-time graphics and game development. Unlike other math libraries, JOML avoids object allocation during calculations, making it highly optimized for garbage-free performance. With precise control over mathematical operations and compatibility... -
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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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Agda
Agda is a dependently typed programming language
...It features interactive development via Emacs, Atom, or VS Code. Agda is a dependently typed functional programming language. It has inductive families, i.e., data types which depend on values, such as the type of vectors of a given length. It also has parametrised modules, mixfix operators, Unicode characters, and an interactive Emacs interface which can assist the programmer in writing the program. Agda is a proof assistant. It is an interactive system for writing and checking proofs. Agda is based on intuitionistic type theory, a foundational system for constructive mathematics developed by the Swedish logician Per Martin-Löf. ... -
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HLSL++
Math library using HLSL syntax with multiplatform SIMD support
HLSL++ is a header-only C++ math library designed to replicate the syntax and functionality of the HLSL shading language, making it easier for developers to write CPU-side code that mirrors GPU shader logic. It provides vector, matrix, and math operations with a syntax identical or very similar to HLSL, allowing seamless transition between shader code and application code. The library is optimized for performance and supports SIMD instructions across multiple architectures, including SSE,... -
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BeEF
The browser exploitation framework project
...Amid growing concerns about web-borne attacks against clients, including mobile clients, BeEF allows the professional penetration tester to assess the actual security posture of a target environment by using client-side attack vectors. Unlike other security frameworks, BeEF looks past the hardened network perimeter and client system, and examines exploitability within the context of the one open door: the web browser. BeEF will hook one or more web browsers and use them as beachheads for launching directed command modules and further attacks against the system from within the browser context. -
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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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TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
...Retrain pre-existing ML models using your own data. Build and train models directly in JavaScript using flexible and intuitive APIs. Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices to potentially higher dimensions. Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript. -
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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,... -
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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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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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geometry3d
A Python library for geometric objects in 3 dimentions
...It finds intersection and distance or closest to another object part of itself. It also can tell if it contains the other object or is it contained by that. Where appropriate, it's easy to check orthogonality and parallelism. Vectors are sub-typed from numpy ndarray class. Extensive unit tests are included. Test coverage exceeds 95%. See documentation of the library internals in section Files ( https://sourceforge.net/projects/geometry3d/files/ ). -
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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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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. -
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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. -
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ccgsl
Use Gnu Scientific Library as if it were writtem in C++.
The ccgsl provides simple C++ wrappers for the GNU Scientific Library. It uses Java-like shared-pointer classes in place of structs to avoid direct memory allocation/freeing and to work better with the STL. It lets you construct functions for optimisation, root-finding and the like from C++ member functions, making it easier to integrate with existing C++ code. It also provides C++ exceptions. -
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corlpack
Ada Library for heterogenous vectors
Corlpack consists of a library and tools aiming to simplify and accelerate programming of small, scientific, computational applications. One of the planned features is the loading and saving of a variety of research data into a single generic data structure, that is much like the named list from R, thus removing the need to learn many data access APIs. -
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Voy
A WASM vector similarity search written in Rust
...It is designed to operate on embeddings generated from text or other data, allowing applications to perform meaning-based search rather than simple keyword matching. The engine uses efficient data structures such as k-d trees to index vectors and perform fast nearest-neighbor queries, making it suitable for real-time search experiences. One of its key advantages is its extremely small footprint, allowing it to be deployed easily on CDNs or client-side applications without significant overhead. Voy also supports serialization and deserialization of indexes, enabling developers to persist and transfer search data across environments. ... -
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QScript
Expression and algorithm evaluator (built with Java)
...A powerful yet simple to use scripting language that can be used to evaluate expressions and simple algorithms. In fact it is the only evaluator I know that supports complex numbers and vectors without the need for additional configuration. The emphasis is on simplicity and extensibility and the website provides detailed guides to help you get the most of QScript. It supports variables, selection (IF-THEN-ELSE) and repetition (WHILE-WEND and REPEAT-UNITL). All the commonly used functions found in Java's Math class are implemented and can easily be extended with user defined functions. ... -
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Weight Vectors
Generate Weight Vectors for multi-objective optimization algorithms
A handy tool with graphical interface that generate weight vectors for multi-objective optimization algorithms. source: https://github.com/ahmed-fathy/weight-vectors
