MLE-agent

Name: MLE-agent
Author: MLSysOps

MLSysOps April 16, 2024

1,539 copies 0 downloads

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG

<div align="center"> <h1 align="center">MLE-Agent: Your intelligent companion for seamless AI engineering and research.</h1> <img alt="kaia-llama" height="200px" src="assets/kaia_llama.webp"> <a href="https://trendshift.io/repositories/11658" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11658" alt="MLSysOps%2FMLE-agent | Trendshift" style="width: 250px; height: 200px;" width="250" height="200px"/></a> <p align="center">:love_letter: Fathers' love for Kaia :love_letter:</p>

PyPI - Version GitHub License <a href="https://discord.gg/d9vcY7PA8Z"><img src="https://img.shields.io/badge/Discord-Join%20Us-purple?logo=discord&logoColor=white&style=flat" alt="Join our Discord community"></a>

📚 Docs | 🐞 Report Issues | 👋 Join us on <a href="https://discord.gg/d9vcY7PA8Z" target="_blank">Discord</a>

</div>

Overview

MLE-Agent is designed as a pairing LLM agent for machine learning engineers and researchers. It is featured by:

🤖 Autonomous Baseline: Automatically builds ML/AI baselines and solutions based on your requirements.
🏅End-to-end ML Task: Participates in Kaggle competitions and completes tasks independently.
🔍 Arxiv and Papers with Code Integration: Access best practices and state-of-the-art methods.
🐛 Smart Debugging: Ensures high-quality code through automatic debugger-coder interactions.
📂 File System Integration: Organizes your project structure efficiently.
🧰 Comprehensive Tools Integration: Includes AI/ML functions

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