N

NLP

💬 Epic prompts to turbo-charge your LLM chatbots.

🤖 AI browser extensions & userscripts to augment your web experience

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

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

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

Official Python, TypeScript/Node, and MCP-server clients for the SentiSift comment-moderation and intelligence API. pip install sentisift · npm install @sentisift/client · uvx sentisift-mcp

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

Your very own Assistant. Because you deserve it.

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

Multi-source RAG pipeline with hybrid vector + keyword retrieval, LLM-powered concept knowledge graph, adaptive search weighting, and evaluation framework.

AI-powered conversational interface for Ethereum blockchain operations: intent-driven NLP pipeline, smart contract deployment, session-scoped wallet persistence, and market data aggregation.

Spelling numbers in Ukrainian

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.

Code for topic modeling and document retrieval. Interfaces with Indexr's web backend. https://www.indexr.us/home

Projet de détection de fake news utilisant une architecture Retrieval-Augmented Generation (RAG).

Le système compare un article avec une base de données vectorielle d’articles de référence afin de prédire un verdict (TRUE / FAKE / UNCERTAIN) et générer une justification avec un LLM local.

Pipeline :

Prétraitement et découpage du texte Génération d’embeddings (Ollama) Stockage dans ChromaDB Recherche des passages similaires Vote majoritaire pour le verdict Génération d’explication avec un LLM

Technologies : Python, Ollama, ChromaDB, scikit-learn, pytest.

Projet réalisé dans le cadre de la formation Développeur en Intelligence Artificielle (Simplon).

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).