Search Results for "python augmented reality"
Sort By:
Showing 64 open source projects for "python augmented reality"
View related business solutions-
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.
-
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.
-
1
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 -
2
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. -
3
ATOMIC is a Cross-platform Authoring Tool software for Augmented Reality Applications Is a Front-end for the ARToolKit library , developed for non-programmers, for create small and simple, AR applications. + info: www.sologicolibre.org/en/
-
4
MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
...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. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
5
Claude Cookbooks
A collection of notebooks/recipes showcasing ways of using Claude
...The content is organized into thematic sections, allowing users to explore specific capabilities or integration patterns systematically. Designed with accessibility in mind, the examples are primarily written in Python but can be adapted to other languages. -
6
Watchdog
Python library and shell utilities to monitor filesystem 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. -
7
Vibe Coding CN
The ultimate workstation for turning ideas into reality
vibe-coding-cn is an open-source guide and resource collection for AI-assisted software development. It presents a workflow for turning ideas into working projects through structured AI pair programming. The methodology emphasizes planning, modular architecture, clear goals, strong context, and human review instead of uncontrolled AI generation. It covers project conception, technology selection, implementation, debugging, testing, and expansion. The repository also organizes prompts,... -
8
LocalGPT
Chat with your documents on your local device using GPT models
LocalGPT is a private, on-premises document intelligence platform for questioning, summarizing, and analyzing files with locally hosted language models. Its data remains on the user’s machine, making it suitable for confidential or offline workflows. The retrieval system combines semantic similarity, keyword matching, late chunking, contextual enrichment, and sentence-level pruning. A smart router chooses between retrieval-augmented generation and direct model responses for each query. An... -
9
PageIndex
Document Index for Vectorless, Reasoning-based RAG
PageIndex is an innovative open-source framework that reimagines retrieval-augmented generation (RAG) by eliminating conventional vector similarity search and instead building hierarchical semantic indexes that mirror a document’s natural structure. Rather than chunking text and embedding it into a vector database, PageIndex constructs a tree-structured index — similar to a detailed, AI-enhanced table of contents — that a large language model can traverse to locate the most relevant sections... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
10
RAG Anything
RAG-Anything: All-in-One RAG Framework
RAG-Anything is an open-source unified framework that extends the Retrieval-Augmented Generation (RAG) paradigm to fully multimodal document and knowledge retrieval, enabling systems to ingest, parse, represent, and query rich content that includes text, images, tables, formulas, and other structured or visual elements. Traditional RAG systems are typically limited to text and cannot effectively work across heterogeneous document layouts, but RAG-Anything addresses this by modeling... -
11
OpenAI Agents JS
A lightweight, powerful framework for multi-agent workflows
...The repo includes examples showing how to build agents that call local functions, chain between agents, validate input/output, stream responses, and interact in real time (e.g. voice agents via WebRTC). It also has tracing and debugging support so you can introspect how agents executed their workflows. Because it aligns closely with the Python Agents SDK, it aims for cross-language parity so that JS/TS devs can adopt similar agent architectures. -
12
Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
Implementation of 'lightweight' GAN proposed in ICLR 2021, in Pytorch. The main contribution of the paper is a skip-layer excitation in the generator, paired with autoencoding self-supervised learning in the discriminator. Quoting the one-line summary "converge on single gpu with few hours' training, on 1024 resolution sub-hundred images". Augmentation is essential for Lightweight GAN to work effectively in a low data setting. You can test and see how your images will be augmented before... -
13
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. -
14
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 context. RUISwitch is a 3D toggle switch with an on and off state. ... -
15
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. -
16
NatML
High performance, cross-platform machine learning for Unity Engine
NatML allows developers to integrate machine learning into their Unity applications in under five lines of code with zero infrastructure. NatML completely removes the need to have any experience with machine learning in order to take advantage of the features it can provide. NatML takes advantage of hardware machine learning accelerators, like CoreML on iOS and macOS, NNAPI on Android, and DirectML on Windows. As a result, it is multiple times faster than Unity's own Barracuda engine. NatML... -
17
Lullaby
A collection of C++ libraries designed to help teams
Lullaby is a modular collection of high-performance C++ libraries developed by Google for creating immersive virtual and augmented reality (VR/AR) experiences. It provides a flexible framework built around an Entity-Component-System (ECS) architecture, enabling developers to design efficient, scalable, and data-driven 3D applications. The framework includes tools and APIs for rendering full 3D environments, managing spatial audio, handling animations, and constructing interactive UI elements optimized for VR interfaces. ... -
18
jeelizFaceFilter
Javascript/WebGL lightweight face tracking library
This JavaScript library detects and tracks the face in real time from the camera video feed captured with WebRTC. Then it is possible to overlay 3D content for augmented reality applications. We provide various demonstrations using main WebGL 3D engines. We have included in this repository the release versions of the 3D engines to work with a determined version (they are in /libs/<name of the engine>/). This library is lightweight and it does not include any 3D engine or third-party library. We want to keep it framework agnostic so the outputs of the library are raw, if the face is detected or not, the position and the scale of the detected face and the rotation Euler angles. ... -
19
Differentiable Neural Computer
A TensorFlow implementation of the Differentiable Neural Computer
The Differentiable Neural Computer (DNC), developed by Google DeepMind, is a neural network architecture augmented with dynamic external memory, enabling it to learn algorithms and solve complex reasoning tasks. Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. This allows the... -
20
Aardvark
A platform for AR in VR
Aardvark is a framework for building augmented reality "gadgets" that run on top of virtual reality experiences. Gadgets are constructed using a bunch of custom React components (from the @aardvarkxr/aardvark-react package) and run in the Aardvark application. Gadgets use these components to show interactive models, 2D UI, or other stuff that will draw on top of any VR applications you run. -
21
OpenFrames
Real-time interactive 3D graphics API for scientific simulations
OpenFrames has moved its primary development repository to GitHub! Everything else will follow. Get it at https://github.com/ravidavi/OpenFrames/wiki OpenFrames is an Application Programming Interface (API) that allows developers to provides the ability to add interactive 3D graphics to any scientific simulation. A simulation developer can use OpenFrames to specify what they want to visualize, without having to know any details of computer graphics programming. OpenFrames is currently... -
22
AR.js
Efficient Augmented Reality for the Web
AR.js is a lightweight JavaScript library for delivering augmented reality experiences on the web. It supports image tracking, location-based AR, and marker-based interactions—all without requiring native applications or plugins. AR.js was among those great projects, with great technologies, often disruptive ones, that eventually were lacking from documentation and support. We tried to carry on the author's terrific work by maintaining this project, handling new versions, issues, pull requests, the community itself. ... -
23
ApertusVR
Virtual Reality software library
The main feature of ApertusVR is the so called "Distributed Plugin-in Mechanism" which means that not only humans could be involved in a multi-user virtual reality scene but any element of the Internet of Things like hardware, software, robot or any kind of smart device. ApertusCore is a programming library written in C++11, that fulfills modern software requirements as it is modular, embeddable, platform-independent, and easily configurable. It contains basic software interfaces and modules... -
24
UniCC LALR(1) Parser Generator
Parser generator, targetting C, C++, Python, JavaScript, JSON and XML
UniCC (UNIversal Compiler-Compiler) compiles an augmented grammar definition into a program source code that parses the described grammar. Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. -
25
Lvr
Augmented Reality for everyone, out of the world experiences
Lvr contains the 3D and WebVR boilerplates required to get running across platforms including mobile, desktop, Vive, and Rift. It works on any phone with WebGL and WebRTC. HTML is easy to read and copy-and-paste. Since Lvr can be used from HTML, Lvr is accessible to everyone: web developers, VR enthusiasts, educators, artists, makers, kids. It is completely open source and free of charge! Lvr is a powerful framework on top of three.js, providing a declarative, composable, reusable...
