Showing 41-60 of 166 projects
ARCore SDK for Android Studio, enabling augmented reality development on Android devices.
A Keras model that generates HTML code from hand-drawn website mockups using an image captioning architecture.
An image augmentation library in Python for machine learning and deep learning applications.
A data augmentation library for natural language processing (NLP) tasks, enabling developers to improve model performance.
Augmented Traffic Control is a tool to simulate network conditions for developers and testers.
A RAG (Retrieval Augmented Generation) framework for building modular, open-source AI applications by TrueFoundry.
A comprehensive guide to using the RAG (Retrieval-Augmented Generation) technique for large language model applications.
A powerful local research tool that leverages AI to search and retrieve information from multiple sources.
This repository provides everything needed to build a Retrieval Augmented Generation (RAG) application using the LangChain framework.
Langroid is a multi-agent framework for harnessing the power of large language models like GPT-4 and ChatGPT.
Collection of generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
An intelligent and adaptable RAG (Retrieval Augmented Generation) library for AI-powered applications.
A high-performance face recognition library for developers built on PaddlePaddle and PyTorch.
A comprehensive document search and storage platform for building AI applications using Python.
TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
Laravel-focused MCP server for augmenting AI-powered local development experience
A web API specification for building virtual and augmented reality experiences on the web.
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM.
Convert text to knowledge graph for Graph Augmented Generation
A high-performance I/O system for large deep learning problems with strong PyTorch support.
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