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MLE Agent
Overview :
MLE-Agent is an intelligent companion designed for machine learning engineers and researchers, equipped with features like autonomous baseline creation, integration with Arxiv and Papers with Code, smart debugging, file system integration, a comprehensive toolset, and interactive command-line chatting. It supports AI/ML functionalities and MLOps tools such as OpenAI and Ollama, facilitating seamless workflows.
Target Users :
MLE-Agent is ideal for engineers and researchers who need efficient management and automation of machine learning projects, especially those looking to enhance their workflow by integrating the latest research and tools.
Use Cases
Automatically create a new machine learning project baseline using MLE-Agent.
Integrate Arxiv and Papers with Code to stay updated on the latest research methods.
Optimize code quality through the smart debugging feature.
Features
Automatically build machine learning/artificial intelligence baselines.
Integrate Arxiv and Papers with Code for access to best practices and the latest methodologies.
Smart debugging with an auto-debugger-encoder interaction to ensure high-quality code.
File system integration for efficient project structure organization.
Comprehensive tool integration including AI/ML features and MLOps tools for seamless workflows.
Interactive command-line chat enhancing projects through a user-friendly chat interface.
How to Use
Install MLE-Agent: Use the pip command `pip install mle-agent -U` or install from source code.
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Create a new project: Run `mle new <project name>` to create a project directory in the current path.
Start the project: Navigate to the project directory with `cd <project name>` and then run `mle start`.
Begin an interactive chat: Execute `mle chat` in the project directory to launch an interactive chat in the terminal.
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