Popular GitHub Repositories for Wikipedia

WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

What If Language Models Expertly Routed All Inference? WilmerAI allows prompts to be routed to specialized workflows based on the domain chosen by your LLM. Also allows chat Assistants to be powered by multiple LLMs working in tandem to generate a response. Compatible with Socg's Offline Wikipedia Article API.

Semantic Search on Wikipedia with Upstash Vector

Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)

ADAM - A Question Answering System. Inspired from IBM Watson

:video_camera: A tool for automatic video creation and uploading on YouTube

AI Personal Voice Assistant Project (Male - Female version)

ChatData ? ? brings RAG to real applications with FREE✨ knowledge bases. Now enjoy your chat with 6 million wikipedia pages and 2 million arxiv papers.

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia

Python Voice Assistant project can: recognize and synthesize speech without Internet access; report the weather forecast anywhere in the world; make a search in the Google; make a video search in the YouTube; make a search for a definition in Wikipedia and read it; translate from the target language to the user's native language, and much more

Generated in real-time from random Wikipedia articles, microscale is a web-based, generative album.

Python Assistant (PA) is a voice command based assistant service written in Python 3.9+. It can recognize human speech or voice, talk to user and execute basic commands.

Word2vec (word to vectors) approach for Japanese language using Gensim and Mecab.

A pipeline for training word embeddings using word2vec on wikipedia corpus.

Python Streamlit web app utilizing OpenAI (GPT4) and LangChain LLM tools with access to Wikipedia, DuckDuckgo Search, and a ChromaDB with previous research embeddings. Ultimately delivering a research report for a user-specified input, including an introduction, quantitative facts, as well as relevant publications, books, and youtube links.

A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"

An F/OSS solution combining AI with Wikipedia knowledge via a RAG pipeline

A Python-based virtual assistant using Gemini AI. Features include voice recognition, text-to-speech, weather updates, news retrieval, jokes, Wikipedia info, and music management. Comes with an interactive web interface. Easily extendable and customizable.