N

NLP

🤖 A starting point for developing your own Chrome extension using chatgpt.js (including pop-up menu + settings management)

🙈 A starting point for developing your own Greasemonkey userscript using chatgpt.js

💬 Epic prompts to turbo-charge your LLM chatbots.

🦁 AI chat & search summaries in Brave Search, powered by the latest LLMs

🐤 AI chat & search summaries in DuckDuckGo, powered by the latest LLMs

∞ Generate endless answers from all-knowing ChatGPT (on any topic!)

🤖 AI browser extensions & userscripts to augment your web experience

Early-stage open-source web service for discovering song lyrics and automatic translation using ML.

Sistema event-driven con Kafka que transforma documentos no estructurados en especificaciones de software completas. Extrae texto con OCR, procesa NER con transformers, clasifica oraciones y generar SRS en múltiples formatos.

Wellespring Project JupyterLab setup for local NLP (natural language processing) tools and tasks. Supports OFFLINE processing for maximum data security, privacy, and copyright/intellectual property protection.

Classic ML + XGBoost + Streamlit (Thai movie reviews)

Bug fixes for the abandoned python Wikipedia project to warn the user when the Wikpedia suggestion engine is corrupting the titles of valid Wikipedia articles. Required for the examples in Natural Language Processing in Action, 2nd Edition by Maria Dyshel and Hobson Lane (and a community of more than 30 contributing authors and editors).

[2025] European news intelligence platform with dual-layer AI sentiment analysis. Tracks media narrative shifts across 12 sources using VADER baseline + Gemini nuance, vector embeddings for semantic search, and interactive relationship mapping with real-time trend visualization.

Natural Language Understanding for math symbols, digits, and words with a Gradio user interface and REST API.

Django application to build and maintain chatbots that combine the best of LLMs and rule-based engines to truly assist your users instead of manipulating them.

This project focuses on building a Lyric Classification Model using LSTM (Long Short-Term Memory) and CNN (Convolutional Neural Networks). The models' purpose is to identify which artist a given lyric belongs to. Users can input lyrics and the models will predict the associated artist, aligning with the course's focus on the practical implementation of Natural Language Processing (NLP) tasks.

microG/UnifiedNlp backend that uses Baidu Location API to resolve locations

A multilingual, AI-powered Streamlit app to preserve Indian proverbs and folk sayings in underrepresented languages. Built with open-source tools for corpus collection and cultural documentation.

Spelling numbers in Ukrainian