Search Results for "python augmented reality"
Sort By:
Showing 249 open source projects for "python augmented reality"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
1
OpenXR SDK
Generated headers and sources for OpenXR loader
OpenXR is a royalty-free, open standard that provides high-performance access to Augmented Reality (AR) and Virtual Reality (VR), collectively known as XR, platforms and devices. This repository contains OpenXR headers, as well as source code and build scripts for the OpenXR loader. It contains all generated source files and headers pre-generated for minimum dependencies. The OpenXR 1.0 specification is free for anyone to download, review and comment. -
2
OpenXR SDK Sources Project
Sources for OpenXR loader, basic API layers, and example code
This repository contains source code and build scripts for implementations of the OpenXR loader, validation layers, and code samples. OpenXR is a royalty-free, open standard that provides high-performance access to Augmented Reality (AR) and Virtual Reality (VR), collectively known as XR platforms and devices. Without a cross-platform standard, VR and AR applications and engines must use each platform’s proprietary APIs. New input devices need customized driver integration. OpenXR provides cross-platform, high-performance access directly into diverse XR device runtimes across multiple platforms. ... -
3
TypeAgent Python
Structured RAG: ingest, index, query
TypeAgent Python is an experimental Python implementation of Microsoft’s TypeAgent architecture designed to explore how large language models can interact with structured software systems. The project focuses on implementing structured Retrieval-Augmented Generation workflows that allow agents to ingest information, index it in structured form, and answer queries using language models. -
4
The Cognitive3D SDK for Unity
Cognitive3D SDK for Unity, analytics for VR/AR/MR
The most powerful spatial analytics platform to help you understand user behavior within immersive experiences. Identify exactly what users are paying attention to and in what order. Measure training performance and outcomes with employees. Evaluate compliance to improve safety, reduce injury and errors. Collect distributed insights for CPG, AEC and retail environments. Prove out your hypotheses by conducting experiments in VR. Receive scientific accuracy in captured eye-tracking, fixations... -
Already Paying for an RMM? Get 50% Off Splashtop AEMAutomated OS and third-party patching for Windows and macOS, CVE prioritization with AI patch summaries, and built-in remote control that also supports Linux. Qualifying organizations switching from another RMM get up to 50% off year one.
-
5
XR Animator
AI-based Full Body Motion Capture and Extended Reality (XR) solution
XR Animator is a free, open-source motion capture application designed for VTubing, avatar animation, and extended reality experiences. It uses Google MediaPipe to track body movements through a webcam or recorded media. Users can animate VRM and MMD avatars using facial expressions, hand movements, and full-body poses. The software supports ARKit-compatible facial blendshapes for detailed expression tracking. Motion capture recordings can be exported in formats such as VMD, BVH, and glTF.... -
6
OpenXR Conformance Test Suite
Conformance test suite for OpenXR
OpenXR Conformance Test Suite is a collection of tests covering the breadth of the OpenXR API. Some tests have been grouped by tags depending on the involvement of the tester/invoker (e.g. [interactive]) and the area of the test (e.g. [composition] and [actions]). Interactive tests for validating layer composition must run for all graphics APIs supported by the runtime and action tests must run for all interaction profiles supported by the runtime. For this reason, the suite of tests is run... -
7
ArUco
Augmented reality library based on OpenCV
ArUco is a minimal library for Augmented Reality applications based exclusively on OpenCV. Relies on b/w markers with codes that are detected by calling a single function. Trivial integration of your augmented reality applications with OpenGL and OGRE. See documentation at https://drive.google.com/file/d/1OiavRVYVJ-WH88sQg1LUsh8CuJZUQyrX/view?usp=sharing -
8
model-viewer
Easily display interactive 3D models on the web and in AR
Easily display interactive 3D models on the web & in AR. Use our Editor to test your 3D models and download a starter website. Generate your own 3D Twitter card for any website. :focus-visible is an as-yet unimplemented web platform feature that enables content authors to style a component on the condition that it received focus in such a way that suggests the focus state should be visibly evident. The :focus-visible capability has not been implemented in any stable browsers yet. If the... -
9
iCn3D
Web-based protein structure viewer and analysis tool
"I see in 3D" (iCn3D) Structure Viewer is not only a web-based 3D viewer, but also a structure analysis tool interactively or in the batch mode using NodeJS scripts based on the npm package icn3d. iCn3D synchronizes the display of 3D structure, 2D interaction, and 1D sequences and annotations. Users' custom displays can be saved in a short URL or a PNG image. The complete package of iCn3D including Three.js and jQuery is in the directory "dist" after you get the source code with the "Code"... -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
10
React Force Graph
React component for 2D, 3D, VR and AR force directed graphs
React Force Graph is a collection of React components for displaying force-directed graph data across 2D, 3D, virtual reality, and augmented reality environments. It provides separate packages with consistent APIs for each visualization mode. Canvas and WebGL rendering are combined with force-based physics for dynamic graph layouts. Users can zoom, pan, drag nodes, and respond to hover or click interactions. Developers can customize node shapes, text, images, link styles, directional particles, geometries, and graph behavior. ... -
11
CAG
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
CAG, or Cache-Augmented Generation, is an experimental framework that explores an alternative architecture for integrating external knowledge into large language model responses. Traditional retrieval-augmented generation systems rely on real-time retrieval of documents from databases or vector stores during inference. CAG proposes a different approach by preloading relevant knowledge into the model’s context window and precomputing the model’s key-value cache before queries are processed.... -
12
LightRAG
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
LightRAG is a lightweight Retrieval-Augmented Generation (RAG) framework designed for efficient document retrieval and response generation. It is optimized for speed and lower resource consumption, making it ideal for real-time applications. -
13
Raglite
RAGLite is a Python toolkit for Retrieval-Augmented Generation
Raglite is a lightweight framework for building Retrieval-Augmented Generation (RAG) pipelines with minimal configuration. It connects large language models to vector databases for context-aware responses, enabling developers to prototype and deploy RAG systems quickly. Raglite focuses on simplicity and modularity for fast experimentation. -
14
Vanna 2.0
Chat with your SQL database
Vanna is an open-source Python framework that enables natural language interaction with databases by converting user questions into executable SQL queries using large language models. The framework uses a retrieval-augmented generation architecture that learns from database schemas, documentation, and past query examples to generate accurate queries tailored to a specific dataset. -
15
FastRAG
Efficient Retrieval Augmentation and Generation Framework
fastRAG is a research framework for efficient and optimized retrieval augmented generative pipelines, incorporating state-of-the-art LLMs and Information Retrieval. fastRAG is designed to empower researchers and developers with a comprehensive tool set for advancing retrieval augmented generation. -
16
Biomni
Biomni: a general-purpose biomedical AI agent
Biomni is a general-purpose biomedical AI agent designed to autonomously perform complex research tasks across a wide range of scientific domains, combining language model reasoning with structured planning and execution. It integrates retrieval-augmented generation with code-based execution, allowing it to access external knowledge, process data, and generate testable hypotheses in scientific workflows. The system is built to support researchers by automating repetitive and time-consuming... -
17
RAGFlow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted data. -
18
Search with Lepton
Lightweight demo to build a conversational AI search engine quickly
...It combines traditional web search with large language models to provide natural language answers to user queries. It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. The implementation is intentionally minimal, containing fewer than 500 lines of code while still providing a complete working example of an AI-powered search system. It includes both a backend service written in Python and a web interface that allows users to interact with the search engine in a conversational format. ... -
19
llmware
Unified framework for building enterprise RAG pipelines
llmware is an open source framework designed to simplify the creation of enterprise-grade applications powered by large language models. The platform focuses on building secure and private AI workflows that can run locally on laptops, edge devices, or self-hosted servers without relying exclusively on cloud APIs. It provides a unified interface for constructing retrieval-augmented generation pipelines, agent workflows, and document intelligence applications. One of the framework’s defining... -
20
Instill Core
Instill Core is a full-stack AI infrastructure tool for data
Instill Core is an open-source, full-stack AI infrastructure platform designed to orchestrate data pipelines, machine learning models, and unstructured data processing into a unified, production-ready system. It provides an end-to-end solution that enables developers to build, deploy, and manage AI-powered applications without needing to manually stitch together multiple tools across the data and model lifecycle. The platform focuses heavily on handling unstructured data such as documents,... -
21
Cheshire Cat AI
AI agent microservice
Cheshire Cat AI Core is an open-source framework for building customizable AI agents as scalable microservices, designed to integrate conversational intelligence into applications through an API-first architecture. It allows developers to create advanced AI assistants that can interact through WebSockets, REST APIs, and embedded chat interfaces, making it suitable for both backend services and user-facing applications. The framework includes built-in support for retrieval-augmented... -
22
Datapizza AI
Build reliable Gen AI solutions without overhead
Datapizza AI is a lightweight framework for building modular, multi-agent AI systems that collaborate to solve complex tasks through orchestration and tool usage. The project focuses on simplicity and transparency, enabling developers to construct agent-based workflows without the heavy abstractions and dependencies often found in larger AI frameworks. It provides a flexible architecture where individual agents can be assigned specialized roles, such as web search, reasoning, or... -
23
DeepAudit
AI multi-agent platform for automated code security auditing system
DeepAudit is an open source code security auditing platform that uses a multi-agent architecture to analyze and identify vulnerabilities in software projects. Instead of relying solely on traditional static analysis, it simulates the reasoning process of security experts through coordinated agents responsible for orchestration, reconnaissance, analysis, and verification. DeepAudit performs deep semantic understanding of code, enabling it to detect complex vulnerabilities that span multiple... -
24
Wanwu AI Agent Platform
Enterprise AI agent platform for workflows, models, and RAG apps
Wanwu is an enterprise-grade AI agent development platform designed to help organizations build and deploy intelligent applications at scale. It provides a multi-tenant environment that enables teams to create AI agents, orchestrate workflows, and implement retrieval-augmented generation systems within a unified framework. Wanwu integrates large language models with business process automation, allowing developers to design complex, production-ready AI solutions tailored to enterprise needs.... -
25
Youtu-GraphRAG
Vertically Unified Agents for Graph Retrieval-Augmented Reasoning
Youtu-GraphRAG is a research framework developed by Tencent for performing complex reasoning using graph-based retrieval-augmented generation. The system combines knowledge graphs, retrieval mechanisms, and agent-based reasoning into a unified architecture designed to handle knowledge-intensive tasks. Instead of relying solely on text retrieval, the framework organizes information into structured graph schemas that represent entities, relationships, and attributes. These structures allow the...
