Search Results for "augmented"
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Showing 159 open source projects for "augmented"
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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. Without a cross-platform standard, VR... -
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MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
... acceleration throughout the pipeline, the solution delivers real-time performance-critical for live experiences. Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control. For example, it can form the basis for yoga, dance, and fitness applications. It can also enable the overlay of digital content and information on top of the physical world in augmented reality. -
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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... -
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PaperQA2
High accuracy RAG for answering questions from scientific documents
PaperQA2 is a package for doing high-accuracy retrieval augmented generation (RAG) on PDFs or text files, with a focus on the scientific literature. See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection. In this example we take a folder of research paper PDFs, magically get their metadata - including citation counts and a retraction check, then parse and cache PDFs into a full-text... -
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LangChain
⚡ Building applications with LLMs through composability ⚡
Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications. -
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GPT-NeoX
Implementation of model parallel autoregressive transformers on GPUs
This repository records EleutherAI's library for training large-scale language models on GPUs. Our current framework is based on NVIDIA's Megatron Language Model and has been augmented with techniques from DeepSpeed as well as some novel optimizations. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training. For those looking for a TPU-centric codebase, we... -
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Sceneform Maintained SDK for Android
Sceneform Maintained is an ARCore Android SDK with Google Filament
Sceneform Maintained is an ARCore Android SDK with Google Filament as 3D engine. This is the continuation of the Archived Sceneform. Android Augmented Reality library: AR Model Viewer, Augmented Images, Augmented Faces, Video, Depth, Cloud Anchors, Instant Placement, Light Estimation and much more in Kotlin and Java. -
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RealityUI
A Swift Package for creating familiar UI Elements and animation
RealityUI is a collection of user interface classes for RealityKit. The classes included in RealityUI aim to offer familiar User Interface guidelines, but in a 3D setting for Augmented and Virtual Reality through RealityKit. The User Interface controls in this repository so far are made to be familiar to what people are used to with 2D interfaces, however the plan is to expand the tools on offer to new and unique controls, which are more appropriate for an Augmented Reality and Virtual Reality... -
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Watchdog
Python library and shell utilities to monitor filesystem events
... in response to file system events. Tricks are actually event handlers that subclass watchdog.tricks.Trick and are written by plugin authors. Trick classes are augmented with a few additional features that regular event handlers don't need. The directory containing the tricks.yaml file will be monitored. Each trick class is initialized with its corresponding keys in the tricks.yaml file as arguments and events are fed to an instance of this class as they arrive. -
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JUDI.jl
Julia Devito inversion
... operators can also be used as layers in (convolutional) neural networks to implement physics-augmented deep learning algorithms thanks to its implementation of ChainRules's rrule for the linear operators representing the discre wave equation. -
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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. -
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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... -
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ARHeadsetKit
Using $5 Google Cardboard to replicate Hololens
With the AR MultiPendulum app, I created the world’s first AR headset experience that does not rely on expensive specialized hardware. Using Google Cardboard, a standard iPhone, and video footage from the phone’s camera, the app creates an AR headset experience by rendering the user’s surroundings in VR. Augmented reality (AR) is a technology that overlays virtual objects over the real world. For years, AR experiences have been available on smartphones through handheld AR apps. In 2016, Pokemon... -
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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... -
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GraphRAG
A modular graph-based Retrieval-Augmented Generation (RAG) system
The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs. -
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Rawdog
Generate and auto-execute Python scripts in the cli
An CLI assistant that responds by generating and auto-executing a Python script. Rawdog (Recursive Augmentation With Deterministic Output Generations) is a novel alternative to RAG (Retrieval Augmented Generation). Rawdog can self-select context by running scripts to print things, adding the output to the conversation, and then calling itself again. -
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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... -
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go-datastructures
A collection of useful, performant, and threadsafe Go datastructures
Go-datastructures is a collection of useful, performant, and threadsafe Go datastructures. Interval tree for collision in n-dimensional ranges. Implemented via a red-black augmented tree. Extra dimensions are handled in simultaneous inserts/queries to save space although this may result in suboptimal time complexity. Intersection determined using bit arrays. In a single dimension, inserts, deletes, and queries should be in O(log n) time. Bitarray used to detect existence without having... -
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zola (né Gutenberg)
Fast static site generator in a single binary with everything built-in
A fast static site generator in a single binary with everything built in. Forget dependencies. Everything you need in one binary. Zola comes as a single executable with Sass compilation, syntax highlighting, table of contents and many other features that traditionally require setting up a dev environment or adding some JavaScript libraries to your site. The average site will be generated in less than a second, including Sass compilation and syntax highlighting. Zola renders your whole site... -
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Kanaries RATH
Next generation of automated data exploratory analysis visualization
RATH is not just an open-source alternative to Data Analysis and Visualization tools such as Tableau, but it automates your Exploratory Data Analysis workflow with an Augmented Analytic engine by discovering patterns, insights, causals and presents those insights with powerful auto-generated multi-dimensional data visualization. -
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Kinetic.jl
Universal modeling and simulation of fluid mechanics upon ML
Kinetic is a computational fluid dynamics toolbox written in Julia. It aims to furnish efficient modeling and simulation methodologies for fluid dynamics, augmented by the power of machine learning. Based on differentiable programming, mechanical and neural network models are fused and solved in a unified framework. Simultaneous 1-3 dimensional numerical simulations can be performed on CPUs and GPUs. -
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LlamaIndex
Central interface to connect your LLM's with external data
LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. LlamaIndex is a simple, flexible interface between your external data and LLMs. It provides the following tools in an easy-to-use fashion. -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness. -
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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"... -
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SOD
An Embedded Computer Vision & Machine Learning Library
SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well as commercial products....