Search Results for "vector space"
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Showing 58 open source projects for "vector space"
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UForm
Multi-Modal Neural Networks for Semantic Search, based on Mid-Fusion
UForm is a Multi-Modal Modal Inference package, designed to encode Multi-Lingual Texts, Images, and, soon, Audio, Video, and Documents, into a shared vector space! It comes with a set of homonymous pre-trained networks available on HuggingFace portal and extends the transfromers package to support Mid-fusion Models. Late-fusion models encode each modality independently, but into one shared vector space. Due to independent encoding late-fusion models are good at capturing coarse-grained features but often neglect fine-grained ones. ... -
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Vearch
A distributed system for embedding-based vector retrieval
Vearch is the vector search infrastructure for deep learning and AI applications. Vearch is a distributed vector storage and retrieval system which can be easily extended to billions scale. Vearch implements a high-performance, lockless real-time vector indexing subsystem that utilizes various optimization techniques to support millisecond vector update and retrieval. -
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BasicBSpline.jl
Basic (mathematical) operations for B-spline functions
Basic (mathematical) operations for B-spline functions and related things with Julia. -
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gensim
Topic Modelling for Humans
Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community. -
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Linfa
A Rust machine learning framework
linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust. Kin in spirit to Python's scikit-learn, it focuses on common preprocessing tasks and classical ML algorithms for your everyday ML tasks. -
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Semantic Router
Superfast AI decision making and processing of multi-modal data
Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow, unreliable LLM generations to make tool-use or safety decisions, we use the magic of semantic vector space — routing our requests using semantic meaning. Combining LLMs with deterministic rules means we can be confident that our AI systems behave as intended. Cramming agent tools into the limited context window is expensive, slow, and fundamentally limited. Semantic Router enables lightning-fast and cheap tool usage that can scale to many thousands of tools. ... -
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Qwen3-VL-Embedding
Multimodal embedding and reranking models built on Qwen3-VL
Qwen3-VL-Embedding (with its companion Qwen3-VL-Reranker) is a state-of-the-art multimodal embedding and reranking model suite built on the open-sourced Qwen3-VL foundation, developed to handle diverse inputs including text, images, screenshots, and videos. The core embedding model maps such inputs into semantically rich vectors in a unified representation space, enabling similarity search, clustering, and cross-modal retrieval. The reranking model then precisely scores relevance between a... -
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export_fig
A MATLAB toolbox for exporting publication quality figures
export_fig is a MATLAB toolbox designed to simplify high-quality figure export from MATLAB, faithfully preserving visual appearance as seen on-screen—including size, colours, fonts, and layout—while offering precise control over output formats such as PNG, PDF, EPS, and more. Exporting a figure from MATLAB the way you want it (hopefully the way it looks on screen), can be a real headache for the unitiated, thanks to all the settings that are required, and also due to some eccentricities... -
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PyMC3
Probabilistic programming in Python
...PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. Sometimes an unknown parameter or variable in a model is not a scalar value or a fixed-length vector, but a function. A Gaussian process (GP) can be used as a prior probability distribution whose support is over the space of continuous functions. PyMC3 provides rich support for defining and using GPs. Variational inference saves computational cost by turning a problem of integration into one of optimization. PyMC3's variational API supports a number of cutting edge algorithms, as well as minibatch for scaling to large datasets. -
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HCubature.jl
Pure-Julia multidimensional h-adaptive integration
The HCubature module is a pure-Julia implementation of multidimensional "h-adaptive" integration. then hcubature(f, a, b) computes the integral, adaptively subdividing the integration volume into smaller and smaller pieces until convergence is achieved to the desired tolerance (specified by optional rtol and atol keyword arguments. Because hcubature is written purely in Julia, the integrand f(x) can return any vector-like object (technically, any type supporting +, -, * real, and norm: a Banach space). You can integrate real, complex, and matrix-valued integrands, for example. Note that HCubature assumes that your function f(x) can be computed at arbitrary points in the integration domain. (This is the ideal way to do numerical integration.) ... -
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Mapbox GL JS
Interactive, thoroughly customizable maps in the browser
Mapbox GL JS is a JavaScript library that uses WebGL to render interactive maps from vector tiles and Mapbox styles. It is part of the Mapbox GL ecosystem, which includes Mapbox Mobile, a compatible renderer written in C++ with bindings for desktop and mobile platforms. Mapbox GL JS is part of the cross-platform Mapbox GL ecosystem, which also includes compatible native SDKs for applications on Android, iOS, macOS, Qt, and React Native. Mapbox provides building blocks to add location... -
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WavTokenizer
SOTA discrete acoustic codec models with 40/75 tokens per second
...The model uses a single-quantizer design together with temporal compression to achieve extreme compression without sacrificing reconstruction fidelity. Its architecture incorporates a broader vector-quantization space, extended contextual windows, and improved attention networks, combined with multi-scale discriminators and inverse Fourier transform blocks to enhance waveform reconstruction. Extensive experiments show that WavTokenizer matches or surpasses previous neural codecs across speech, music, and general audio on both objective metrics and subjective listening tests. -
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LDPatternCreator
Create and edit patterned parts quick and easy.
..... - RAM: 500 MB - Video-Memory: 256 MB - Free Disk Space: 5 MB - .NET-Framework (Version >= 2.0) Recommended Requirements: - Operating System: Windows 7 or 10 - CPU: Multicore-Processor e.g. Intel Core 2 Duo or AMD Athlon II (>=2,0Ghz) - RAM: >1.500 MB - Video-Memory: 256 MB - Free Disk Space: 100 MB - .NET-Framework (Version >= 2.0 until 1.4.7 / 4.0 for >1.5.0) Note to users of versions lesser than 1.5.7: You’ll need administrator privileges to install the software. -- Developed in Germany by Nils Schmidt - nilsschmidt1337 -
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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. -
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C++ Eigenvectors
C++ matrix class template with eigenvectors
...x*I - A = Q*B where Q is unitary and B is upper triangular. If x is an eigenvalue of A, there must be at least one zero on the diagonal of B. An eigenvector of A will be a vector in the null space of B. The upper triangular form of B makes finding its null vectors easy. For a zero on the diagonal of B, make the eigenvector have a 1 at that row, zeros below, and work upwards. -
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Fosite - advection problem solver
numerical simulation code for solving transport equations in 1D/2D/3D
...This allows for high performance on modern architectures (SIMD). It is parallelized and vectorized. The software is thereby optimized for the NEC SX-Aurora TSUBASA Vector Engine . -
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Photon
A graphing calculator that's both powerful and easy to use.
Photon is a fully functional graphing calculator capable of numeric calculations as well as graphing functions, including parametric and polar graphs. In addition to regular graphing, Photon can plot integrals, first and second derivatives, tracing, animation, matrix math, and degree / radian mode. Photon can find roots, minimums and maximums, points of inflection, and it can fit several types of best fit lines and curves to data sets. Log and semi-log graphing are also... -
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...Zgoubi simulates beam dynamics and polarization in a variety of accelerators (storage ring, synchrotron, cyclotron, betatron, microtron, FFAG, multi-pass ERL, etc) and optical systems (beam lines, magnetic and electrostatic optical components, time-of-flight and mass spectrometers, etc). The code includes built-in fitting procedures with a wide variety of constraints; stochastic SR energy loss; the tracking of synchrotron radiation (SR) Poynting vector; space charge models; various Monte Carlo procedures, etc. Contact: francoisgmeot@gmail.com Documentation (History of accelerators that zgoubi deals with, theory, tutorials): https://link.springer.com/book/10.1007/978-3-031-59979-8 https://link.springer.com/book/10.1007/978-3-031-16715-7, Chap. 14.
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Annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage
Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data. There are some other libraries to do nearest neighbor search. Annoy is almost as fast as the fastest libraries, (see below), but there is actually another feature that really sets Annoy apart: it has the... -
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Frappe Charts
Simple, responsive, modern SVG Charts with zero dependencies
GitHub-inspired simple and modern SVG charts for the web with zero dependencies. An axis chart is generally a 2D rendition of data, where a set of values corresponds to every point in a dataset. That's why, data is the most important component for a chart. A chart can have multiple datasets. In an axis chart, every dataset is represented individually. Frappe Charts are responsive, as they rerender all the data in the current available container width. In order to set the bar width, instead... -
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vue-content-loader
SVG component to create placeholder loading
vue-content-loader provides SVG “skeleton screen” components for Vue applications, letting you show animated placeholders that mimic your layout while real content loads. Skeletons reduce perceived waiting time and help prevent layout shifts by reserving space for images, text blocks, and cards. The library exposes composable, declarative shapes so you can approximate your final UI without pixel-perfect templates. Because it renders as vector graphics, the output is crisp on all screens and cheap to animate. It’s easy to theme and reuse across a design system, keeping loading states consistent throughout a product. ... -
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The library provids two services: 1. Orientational analysis, i.e. compile time analysis for dimensions indicating a direction in space. 2. Aggregation of values carrying orientational dimensions into a data structure suitable to represent vectors
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Texthero
Text preprocessing, representation and visualization from zero to hero
Texthero is a python package to work with text data efficiently. It empowers NLP developers with a tool to quickly understand any text-based dataset and it provides a solid pipeline to clean and represent text data, from zero to hero. -
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3d Linear Transformation Visualization
Visualize 3d linear transformations.
A linear transformation is a function from one vector space to another that respects the linear structure of each vector space. For visualizing this we can transform a vector, but it has an obvious problem, because the linear transformation transform the whole space, not just the vector, in other words it transforms the basis vectors thus every vector in the space gets transformed too. -
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Calcflow
A virtual reality tool for mathematical modeling
The repository contains the open-sourced code to Calcflow, a powerful mathematical visualization tool designed to give students, educators, and engineers a better grasp on some of the most difficult concepts in vector calculus. Utilizing the best UI/UX theory, Calcflow is an intuitive VR interface for vector calculus and is used by scientists and engineers for both educational and commercial applications. Today, the most common tool for complex maths visualization in the classroom is the TI-84+. Scientists, researchers, and other professionals who implement calculus in their work may rely on more complex toolkits like MATLAB. ...