Search Results for "augmented"
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Showing 27 open source projects for "augmented"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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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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Spring AI
An Application Framework for AI Engineering
...It focuses on production readiness by offering features such as configuration management, observability, and integration with Spring Boot applications. Spring AI also includes support for retrieval-augmented generation, enabling applications to connect language models with structured and unstructured data sources. Its architecture encourages modular design, making it easier to extend or swap components without rewriting large parts of the system. -
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LangChain for Java
LangChain4j is an open-source Java library
...Its architecture includes abstractions for prompts, chat interactions, document processing, embeddings, and vector storage, enabling developers to build complex AI workflows with minimal boilerplate code. LangChain4j also implements common design patterns used in generative AI systems, such as retrieval-augmented generation pipelines, tool calling, and intelligent agent frameworks. These abstractions allow developers to orchestrate interactions between language models, external tools, and knowledge bases in a structured and scalable way. -
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OpenDataLoader PDF
PDF Parser for AI-ready data. Automate PDF accessibility
OpenDataLoader PDF is an open-source document processing system designed to convert complex PDF files into structured, AI-ready formats such as Markdown, JSON, and HTML while preserving layout, hierarchy, and semantic meaning. It focuses on enabling downstream use cases like retrieval-augmented generation (RAG), knowledge extraction, and document intelligence pipelines by maintaining accurate reading order and spatial metadata through bounding boxes. The tool combines deterministic parsing methods with an optional hybrid AI-powered mode that improves extraction quality for difficult layouts such as multi-column documents, scanned files, and scientific papers. ... -
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cordova-plugin-camera-preview
Cordova plugin that allows camera interaction from HTML code
Cordova Camera Preview is a plugin that allows developers to add real-time camera preview functionality to Cordova-based mobile apps. It provides direct access to the device's camera feed with customizable overlays and controls, enabling the creation of augmented reality, scanning, and camera-based interaction apps. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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RuoYi AI
Enterprise AI platform for building, deploying, and managing apps
...It provides a unified framework for integrating multiple AI models from different providers, allowing teams to switch or combine models through a consistent interface without vendor lock-in. RuoYi AI includes built-in support for retrieval-augmented generation, enabling organizations to create secure, private knowledge bases with high-accuracy search and reasoning capabilities. It also offers visual workflow orchestration tools that allow users to design complex AI pipelines, automate tasks, and coordinate multi-agent systems for advanced decision-making scenarios. In addition to backend capabilities, RuoYi AI includes frontend components and administrative dashboards built with modern web technologies, making it a complete end-to-end solution. -
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Spring AI Alibaba Examples
Spring AI Alibaba examples for building and testing AI apps
...It is designed to help developers understand core concepts, explore practical implementations, and follow best practices when building AI-powered systems using the Spring ecosystem. Each module focuses on a specific use case such as chat, image processing, audio handling, graph workflows, and retrieval-augmented generation. The examples highlight how to integrate AI models, manage prompts, handle memory, and build multi-model or multi-agent workflows. Developers can explore individual project folders for detailed instructions and implementation guidance. Spring AI Alibaba Examples also supports experimentation through playground modules and encourages contributions to expand real-world AI use cases and improve development practices. -
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Processing
Source code for the processing core and development environment
...There are tens of thousands of students, artists, designers, researchers, and hobbyists who use processing for learning and prototyping. The core Processing software is augmented by libraries and tools contributed through the community. These inventive extensions are a bright future for the project. We have a list of Contributed Libraries and Contributed Tools posted online. These contributions can't be underestimated. The Processing Development Environment makes it easy to write Processing programs. It’s free and open source! ... -
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Google Fusion Tables Sql Console
SQL front end for data administration and quick query hacks
Querying and data administration front end for Google Fusion Tables Sql providing augmented Sql features. Coming as Eclipse plugin (see External Links) or barren stand alone client with low resource footprint, a code editor matching contemporary standards and command line mode. -
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TOYVision
Toolkit for the easy prototyping of hybrid games for Tabletop Devices
TOYVision is a software toolkit for the easy prototyping of Hybrid Videogames, mixing physical and virtual elements. Designers and developers of videogames, can use ToyVision to develop computer augmented hybrid games, based on manipulation of physical playing pieces and body gestures. ToyVision, supports Reactivision to comunicate with visual based Tabletop devices /http://nuigroup.com/go/lite), and Kinect sensor to track players movements ToyVision enables passive (carried out by the player) and active (carried out by the computer through the Arduino microcontroller) Any programming language can be used to develop games with toyvision, provided by implementing a TCP-IP socket. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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OpenAR
Augmented reality on Android
OpenAR is an augmented reality system built on Android. You can annotate your own scenes and retrieve them in real time. -
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asdnetworks
Framework used to represents English grammars graphically
Augmented Syntax Diagrams (ASDs) provide a framework to represent grammars of natural languages as directed graphs -- that is, as networks of nodes and edges. Nodes represent instances (or usages) of words and phrase types in a language such as English. -
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Swarm Wars
Safety in numbers.
...They can attack and repair other organisms. They can select mates, and they can gather and distribute food and material. This behavior is controlled by a genetically evolved neural net augmented with online back propagation learning. The back propagation learning uses a reward vector and plasticity matrix that is evolved as part of the genome. Long story short, the AI is pretty frickin' sophisticated. Players can take control of organisms, trade resources and organisms in a market, and aid evolution by selective breeding. -
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LARMcess is that "Linux Augmented Reality 3d Marker" . We will developing 3D Marker based on 2D Barcode(QR Code) on android OS. we can get the content's information from 2D barcode using android phone and display the content's 3D object and annou
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Patternity is a framework to build tools upon it. Its meta-model is augmented with patterns, enabling tools to work at a higher level, closer to the way you think. The goal is to to create patterns-aware tools to automate more of your work.
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A free, java-based wearable computer and augmented reality system. Designed to be constructed out of common off-the-shelf items.
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This is an augmented reality browser that uses the position and orientation of the mobile device it is running on and the position of a list of tracked devices in order to display the tracked devices in an augmented reality view, in real time.
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AFAR (AgentFactory Augmented Reality) is a NetBeans module for developing intentional agent based Augmented Reality (AR) applications. AFAR deploys AgentFactory agents.
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Augmented Syntax Diagrams (ASD) provide a way to represent grammars of natural languages as directed graphs
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Augmented Syntax Diagrams are an alternative to natural language grammar rules expressed as strings. They are also suitable for left-corner bottom-up parsing. Prof. Jim Mason developed an editor (ASDEditor) in Java to create and edit ASD grammars.
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A java-based tool for computer-augmented Pen&Paper roleplaying in Shadowrun. The idea is that this tool will be used in-game as a character sheet and/or gamemaster's tool while being interoperable with people using traditional pen&paper to play an rpg.
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xchecker is both a test framework for XML and XSLT, and a wrapper for an XML Schema processor that allows XML Schema documents to be augmented with xchecker. xchecker checks can be any combination of XML Schema, Relax NG, XPath 2.0, XSLT 2.0 and XQuery.
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A Java based, command-line analysis tool for checking the conformance of data streams to the formal definition they are supposed to adhere. The formal definition itself should comply to RFC 2234 Augmented BNF for Syntax Specifications: ABNF or ASN.1
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