Popular GitHub Repositories for Wikipedia Categories

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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

This is "SHIELD" a System for Harmful explicit-content Identification and Evaluation through LLM-Driven approach. Its primary object is to score explicit content for 15 different categories of explicitness from 0 to 100, it leverages LLMs as the primary scoring tool.

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

: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.

Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end. Meant to make property monitoring faster without need to watch video recordings.

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

PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022

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