Search Results for "vector space"
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Showing 41 open source projects for "vector space"
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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... -
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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. End-to-end one-click deployment. Through the module of the plugin, a complete default visual search system can be deployed just... -
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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... -
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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... -
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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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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... -
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PyMC3
Probabilistic programming in Python
... 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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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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Frappe Charts
Simple, responsive, modern SVG Charts with zero dependencies
... of defining it and the space between the bars independently, we simply define the ratio of the space between bars to the bar width. The chart then adjusts the actual size proportional to the chart container. Line charts are great to show trends. One of the reasons they are interesting is because the data involved usually involves a large number of data points. For so many points, we'd really like to keep the plot as less detailed as we can, while also using the already present color to advantage. -
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LakhCleanAnalysis
Tools to analyze the Lakh Clean Midi Dataset
The goals of project are described in the web page https://lakhcleananalysis.sourceforge.io/ and in the YouTube video referenced here. 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... -
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..., microtron, linear and scaling FFAG, multi-pass ERL, etc.) and optical systems (magnetic and electrostatic optical components and beam lines, time-of-flight and mass spectrometers, etc.). It includes built-in fitting procedures, with a wide variety of constraints. It includes synchrotron radiation Poynting vector tracking, synchrotron radiation energy loss, space charge modeling, several Monte Carlo procedures.
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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. That's why i created this app so everyone can see how a transformation matrix change the whole space. -
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Zdog
Flat, round, designer-friendly pseudo-3D engine for canvas & SVG
Zdog is a 3D JavaScript engine for <canvas> and SVG. With Zdog, you can design and render simple 3D models on the Web. Zdog is a pseudo-3D engine. Its geometries exist in 3D space, but are rendered as flat shapes. This makes Zdog special. Zdog is small. 2,100 lines of code for the entire library. 28KB minified. Zdog is round. All circular shapes are rendered as proper circles with rounded edges. No polygonal jaggies. Zdog is friendly. Modeling is done with a straight-forward declarative API... -
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GFS view
GFS view is the program for generate and display weather forecas
GFS view is the program to generate and display weather forecast maps from the National Centers for Environmental Prediction (NCEP) GFS data Quick and easy access to instant weather forecast data of the NCEP center Download many data sets at once: by several days, many issued time and many forecast times, by the variable time step and any combinations of grib code-level-heights Filter data on the server to save bandwidth, downloading time and a disk space, extensive set... -
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Fosite - advection problem solver
numerical simulation code for solving transport equations in 1D/2D/3D
Fosite is a generic framework for the numerical solution of hyperbolic conservation laws in generalized orthogonal coordinates. Its main purpose is the simulation of compressible flows in accretion disks. The underlying numerical solution method belongs to the family of unsplit conservative finite volume TVD schemes. The method is 2nd order accurate in space and uses high order Runge-Kutta and multistep schemes for time evolution. In addition to the pure advection code several source terms have... -
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Matlab/Octave Rotations Library
Library for working with 3D rotations in Matlab/Octave
The Matlab/Octave rotations library is a collection of functions, bundled as m-scripts, that address computations and numerical handling of rotations in 3D Euclidean space. The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation... -
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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... -
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RMORS - A Dark Sky
A space race game in the style of A Dark Room
In RMORS (pronounced as “remorse”) you are the chief administrator of either China or Japan’s space program in a race to be the first to reach the moon. In this alternative time line story, you’ll be participating in a post-WWII Cold War scenario where the space race was used as a means of avoiding the Korean and Vietnam wars. RMORS is a resource-based, real-time strategy game in minimalist style. The game will have very few graphics and those it does will have a retro CGA/vector style... -
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Pi-Space Physics Software
A Physics Theory for Unifying Classical, Quantum and Relativistic Phys
This is the Official Software of the Pi-Space Physics Theory created by Martin Brady. I have a B.Sc. in Computer Applications from Dublin City University and I have an interest in software implementation of Physics. The Theory includes a Quantum Theory of Gravity as well as a reworking of Classical versions of Newton's Formulas. The Theory is based on a set of Relativistic Diagrams called Pi-Space Diagrams for those new to the Theory. License :: Creative Commons Attribution License... -
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PhaseSpace
Analyse dynamical systems, plot its phase space and critical points.
Phase Space is born out of the need of a simple yet powerful open source tool to study dynamical systems. PhaseSpace allows you to plot the phase space of the dynamical system you are studying, its critical points and the curves of slope zero and infinite.It can also plot the solutions of the system and it's vector field. To use PhaseSpace you'll need to have Python installed along with Matplotlib and Numpy. -
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GloVe
GloVe model for distributed word representation
GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. The links provided contain word vectors obtained from the respective corpora. If you want word vectors trained on massive web datasets, you need only download one of these text files! Pre-trained word vectors... -
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Elastic Vector Space Analysis
Modifier Vector Space Analysis
The Vector Space Analysis was taken from Classifier4j and modified in following ways: 1. The algorithm was created to imitate the stretching of an elastic-band (I have done actual physical measurements). 2. Stretched Strings are then optimized to give the exact Vector-Space-Analysis results. This way, there is no over-training of the imput, and different sizes of the Strings can be used to get improved results. USAGE: public static void main(String[] args) { try...