Showing 141-160 of 166 projects
A collection of C++ libraries for developing virtual and augmented reality experiences.
RAG Search API is a Python library that provides a search engine API powered by Retrieval Augmented Generation (RAG) models.
A framework for data augmentation for 2D and 3D image classification and segmentation tasks.
Samples to demonstrate the use of the WebXR Device API for building augmented and virtual reality experiences.
A Jupyter Notebook library for applying data augmentation techniques to improve object detection models.
A Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL, useful for AI coding tools.
An Azure-based Retrieval-Augmented Generation (RAG) pattern using Azure Cognitive Search and Azure OpenAI for ChatGPT-style experiences.
A fast and customizable PyTorch library for audio data augmentation, useful for deep learning applications.
A 3D and AR library for Android powered by Google Filament and ARCore, built with Jetpack Compose and Layout View.
A SQL-driven RAG engine that automatically builds a knowledge graph during querying, enabling knowledge-enhanced applications.
Unofficial PyTorch implementation of the Conformer model for speech recognition tasks.
A unified framework for efficient fine-tuning and retrieval augmented generation (RAG) using LLMs.
Real-time face tracking, expression detection, and animated emoticons for web applications.
A comprehensive library for sentiment analysis, text classification, and text adversarial defense, tailored for AI-powered developers.
A collaborative spreadsheet-like platform for building and experimenting with AI applications.
An OpenXR loader library for building virtual and augmented reality applications.
A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.
RAGChecker is a fine-grained framework for diagnosing RAG (Retrieval-Augmented Generation) models.
An easy-to-use XR engine for building AR and VR applications with C# and OpenXR
A curated collection of papers on generative information extraction using large language models.
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