N

NLP

🤖 AI browser extensions & userscripts to augment your web experience

💬 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

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

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

libpostal address parsing and normalization library bindings for Kit

Deep Self Mirror (DSM) — psycho-cognitive self-profile from your chat history or psychological session transcript. Analyze ChatGPT/Claude/Gemini exports through 8 layers, 25+ models, 400+ metrics: Big Five, Dark Triad, Schwartz Values, NLP metaprograms, attachment style, cognitive biases, Jungian shadow, C4-META 27-state topology. Age/gender-adjusted norms (Soto & John 2012, N=1.3M). Three precision modes: rule-based (instant, free), local LLM (private), API LLM (maximum). Export to HTML + JSON + DOCX + Markdown. 100% local. Open source (AGPL-3.0). Built by a psychologist (15+ yr practice). Bilingual EN/RU.

Русская версия: Deep Self Mirror (DSM) — психокогнитивный профиль из истории чатов или транскрипта психологической консультации. 8 слоёв, 25+ моделей, 400+ метрик: Big Five, Dark Triad, ценности Шварца, метапрограммы, стиль привязанности, когнитивные искажения, тень Юнга, C4-META топология. Возрастные нормы (Soto & John 2012, N=1.3M). 3 режима: rule (мгновенно), локальная LLM (приватно), API (максимум). Экспорт в HTML + JSON + DOCX + Markdown. 100% локально. AGPL-3.0. Создано психологом (15+ лет практики). Билингва EN/RU.

Your very own Assistant. Because you deserve it.

Chatbot intelligent base sur SVM + SBERT + Flan-T5, avec pipeline MLOps GitLab CI/CD et deploiement Docker.

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

Native macOS knowledge graph — on-device AI auto-discovers connections between your notes.

AI-Powered Phishing Detection - By Ayi NEDJIMI

https://ayinedjimi-consultants.fr

AI-Powered Incident Summarizer - By Ayi NEDJIMI

https://ayinedjimi-consultants.fr

Automated Dataset Creation & Publishing Pipeline - Scrape, clean, transform, validate and publish datasets to HuggingFace Hub

https://ayinedjimi-consultants.fr

GPU-accelerated embedding server for RAG systems - CUDA, FastAPI, sentence-transformers | Serveur d'embeddings GPU ultra-rapide

https://ayinedjimi-consultants.fr

Generátor novinářských fotbalových reportů v češtině pomocí LLM (Claude, Ollama). Obsahuje evaluaci výstupu přes ROUGE, BERTScore a faktickou přesnost. Kontroly pomocí pomocí modelu mBERT (bert-base-multilingual-cased).

Multimodal architecture that is capable to sensing emotion from chat occurrences, with added support for emojis, emoticons, and internet slangs.

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

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