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This project is a Computer Vision application that allows users to customize their detection parameters according to their needs. Whether you want to detect specific objects, define the area of interest, or schedule detection times, this application provides flexible and powerful options.
Quick swarm orchestration with generalist agent and a sql agent (chief recipe)
Entrainement sur YOLOV8 pour qu'il puisse detecter du feu
Microservice chatbot LLM RAG
Repositories
81Entrainement sur YOLOV8 pour qu'il puisse detecter du feu
No description provided.
list of skills that folks talked about on the stage at the coding agent conference March 3rd
Tool to migrate data into Qdrant
Microservice chatbot LLM RAG
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Agentic RAG Chatbot Elite Dangerous
This project is a Computer Vision application that allows users to customize their detection parameters according to their needs. Whether you want to detect specific objects, define the area of interest, or schedule detection times, this application provides flexible and powerful options.
Scraper de posts LinkedIn pour donner des ressources à l'AI.
Landing page of Ignition AI Agency
My Landing Page
MCP/API server that helps you to connect to different lead generation app
No description provided.
JavaScript/Typescript SDK for Qdrant Vector Database
Fast Prototyping with Gradio, Smolagents and MCP Servers
All my Notebooks , study and practice
all of the workflows of n8n i could find (also from the site itself)
No description provided.
No description provided.
MCP data.gouv.fr recherche d'entreprise
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Quick swarm orchestration with generalist agent and a sql agent (chief recipe)
No description provided.
A high-performance embedding service built with Rust, providing text embeddings via gRPC. This service leverages both FastEmbed for embedding generation and Hugging Face's Llama-3.3-70B-Instruct model for intelligent markdown chunking.
Rust Microservice for my landing page at url https://ignitionai.fr/
No description provided.
Use case of Deep Learning in WebGL with Tensorflow