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Arthur Barrieau's Projects

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

anthropic-cookbook icon anthropic-cookbook

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

anything-llm icon anything-llm

A multi-user ChatGPT for any LLMs, and vector database. Unlimited documents, messages, and storage in one privacy-focused app. Now available as a desktop application!

arcade icon arcade

Easy to use Python library for creating 2D arcade games.

autobabytermux-fork icon autobabytermux-fork

chatGPT 'Autonomous Agent' in Node.js, written/runs in Termux. Sandboxed REPL access and chain-of-thought Question-Observation-Thought-Action-Result reasoning. All in 400 lines of js

autogen icon autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

chat-with-website icon chat-with-website

Simple Streamlit and Chainlit app to have interaction with your website URL.

continue icon continue

⏩ Continue is an open-source autopilot for VS Code and JetBrains—the easiest way to code with any LLM

crewai icon crewai

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

devika icon devika

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

gradio icon gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

langchain-ollama-chainlit icon langchain-ollama-chainlit

Simple Chat UI as well as chat with documents using LLMs with Ollama (mistral model) locally, LangChaiin and Chainlit

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