Search Results for "vector linux" - Page 6
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570 projects for "vector linux" with 1 filter applied:
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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SuperAGI
A dev-first open source autonomous AI agent framework
An open-source autonomous AI framework to enable you to develop and deploy useful autonomous agents quickly & reliably. Join a community of developers constantly contributing to make SuperAGI better. Access your agents through a graphical user interface. Interact with agents by giving them input, permissions, etc. Agents typically learn and improve their performance over time with feedback loops. Run multiple agents simultaneously to improve efficiency and productivity. Connect to multiple... -
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react-native-progress
Progress indicators and spinners for React Native
react-native-progress is a set of customizable progress indicators and spinners for React Native applications. It provides several visual components—such as circular, pie, bar, and semi-circle progress indicators—built on top of react-native-svg so they render as vector graphics. This approach ensures that progress indicators scale cleanly across different screen densities and sizes while remaining smooth and visually appealing. The library is designed to be simple to use: developers import... -
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Voy
A WASM vector similarity search written in Rust
Voy is a lightweight WebAssembly-based vector similarity search engine written in Rust that enables semantic search capabilities directly in browser or edge environments. 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... -
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Text2vec
Text to Vector, Get Sentence Embeddings
Text2vec is a Python toolkit for turning text into vector representations. It supports words, sentences, and paragraphs, making it useful for semantic search, similarity matching, clustering, retrieval, and ranking workflows. The project implements models and methods such as Word2Vec, RankBM25, BERT, Sentence-BERT, and CoSENT. It also compares model behavior on semantic matching and similarity calculation tasks. Developers can use it as an applied NLP library for embedding generation or as a... -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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LLM Applications
A comprehensive guide to building RAG-based LLM applications
LLM Applications is a practical reference repository that demonstrates how to build production-grade applications powered by large language models. The project focuses particularly on Retrieval-Augmented Generation architectures, which combine language models with external knowledge sources to improve accuracy and reliability. It provides step-by-step guidance for constructing systems that ingest documents, split them into chunks, generate embeddings, index them in vector databases, and... -
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QuantResearch
Quantitative analysis, strategies and backtests
QuantResearch is a large educational repository dedicated to quantitative finance, algorithmic trading, and financial machine learning research. The project contains numerous notebooks and research materials demonstrating quantitative analysis techniques used in financial markets. These include implementations of factor models, statistical arbitrage strategies, portfolio optimization methods, and reinforcement learning approaches to trading. The repository also explores financial modeling... -
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Sodipodi is general vector illustrating application for Linux/Unix and Windows. It uses W3C SVG as native file and in-memory image format and can do many neat things.
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CSS Refresher Notes
Refresher of CSS concepts
CSS Refresher Notes is a comprehensive set of notes intended to help web developers revisit and solidify their understanding of core and advanced CSS concepts, organized as an approachable reference guide rather than a full textbook. The content spans foundational topics like positioning, display types, selectors, layout techniques, and box model intricacies, to more modern CSS capabilities such as media queries, responsive design principles, transitions, animations, and scalable vector... -
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SPTK is a suite of speech signal processing tools for UNIX environments, e.g., LPC analysis, PARCOR analysis, LSP analysis, PARCOR synthesis filter, LSP synthesis filter, vector quantization techniques, and other extended versions of them.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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DataMelt
Computation and Visualization environment
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear... -
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GXSM
Scanning Probe Microscopy Controller and Data Visualization Software
GXSM -- Gnome X Scanning Microscopy: A multi-channel image and vector-probe data acquisition and visualization system designed for SPM techniques (STM,AFM..), but also SPA-LEED/LEED/LEEM data analysis. A plug-in interface allows any user add-on data-processing and special hardware and instrument support. Latest: NC-AFM and related explorative methods as SQDM can be configured. High-Speed external PAC-PLL hardware option with digital DSP link. Based on several hardware options it supports... -
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giv, The G(reat|tk|NU) Image Viewer, is a 8-bit to 32-bit and floating point image and vector viewer for gtk+. It is designed especially for scientific vision and computational geometry and has support for drawing vector graphics on top of an image.
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See: https://github.com/nicholasdower/voops VOOPS is a Vector graphics editor written in Java. It was originally released in 2006. It is no longer under active development. The latest release is available as an executable JAR or as a Mac App here: https://github.com/nicholasdower/voops/releases
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Motionity
The web-based motion graphics editor for everyone
Motionity is an open-source, browser-based motion-graphics editor designed to bring animation and video editing power to the web, blending the intuitiveness of drag-and-drop tools with advanced capabilities akin to desktop motion editors. It allows users to assemble video or image assets, layer them, and apply animation via keyframes — with customizable easing — giving fine-grained control over motion timing. In addition to keyframing, motionity supports layer masking, filters (color... -
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SGX-Full-OrderBook-Tick-Data-Trading
Providing the solutions for high-frequency trading (HFT) strategies
SGX-Full-OrderBook-Tick-Data-Trading-Strategy is an open-source research project focused on modeling high-frequency financial market behavior using machine learning techniques. The repository analyzes tick-level order book data from the Singapore Exchange and attempts to capture the dynamics of limit order book movements. By extracting features such as order depth ratios and price movement indicators, the system trains machine learning models to predict short-term market changes. Several... -
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Kubesploit
Kubesploit is a cross-platform post-exploitation HTTP/2 Command
Kubesploit is a cross-platform post-exploitation HTTP/2 Command & Control server and agent dedicated for containerized environments written in Golang and built on top of Merlin project by Russel Van Tuyl. While researching Docker and Kubernetes, we noticed that most of the tools available today are aimed at passive scanning for vulnerabilities in the cluster, and there is a lack of more complex attack vector coverage. They might allow you to see the problem but not exploit it. It is... -
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XDraft is a mechanical drawing editor similar to XFig or various Windoze cad programs, but geared towards more precise drawing. XDraft adds input constraints and other features that makes it highly suitable for power users. Also includes dimensioning.
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printpdf
Rust / WASM library for reading, writing and rendering PDF
printpdf is a Rust library for creating, reading, writing, and rendering PDF documents, providing developers with fine-grained control over document generation and layout. It supports a wide range of PDF features, including pages, layers, annotations, vector graphics, images, and embedded fonts, allowing the creation of complex and professional documents. The library emphasizes manual positioning of elements, giving developers precise control over layout and rendering rather than relying on... -
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OffRoad
Offline vector map display ported from OsmAnd
An offline map viewer for the Desktop based on OsmAnd. -
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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... -
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hora
Efficient approximate nearest neighbor search algorithm collections
hora is an open-source high-performance vector similarity search library designed for large-scale machine learning and information retrieval systems. The project focuses on approximate nearest neighbor search, a fundamental technique used in modern AI applications such as recommendation systems, image search, and semantic search engines. Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning... -
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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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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
Machine-Learning is a repository focused on practical machine learning implementations in Python, covering classic algorithms like k-Nearest Neighbors, decision trees, naive Bayes, logistic regression, support vector machines, linear and tree-based regressions, and likely corresponding code examples and documentation. It targets learners or practitioners who want to understand and implement ML algorithms from scratch or via standard libraries, gaining hands-on experience rather than relying... -
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OpenNum
OpenNum lets you distribute solvers with a nice graphical interface
Typically, to program a GUI is time consuming and requires experience with graphic libraries. OpenNum lets you create a graphical interface adapted to your solvers by simply editing an XML configuration file. More specifically, OpenNum lets you · to collect a hierarchical dataset, · to call any executable file and · to visualize scalar and vector fields, plot graphs or show simple plain text files. It also has other useful utilities specifically designed for numerical... -
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Machine-Learning-Notes
Zhou Zhihua's "Machine Learning" push notes
The Machine-Learning-Notes repository contains detailed handwritten-style study notes based on the popular machine learning textbook by Zhou Zhihua. The project focuses on deriving formulas and explaining algorithms step by step so that learners can understand the mathematical foundations behind machine learning methods. The notes span sixteen chapters that cover a wide range of topics, including model evaluation, linear models, decision trees, neural networks, support vector machines,...
