Autonomous AI research with autoresearch

This repository proposes concept of autonomous AI learning, where agent modifies code and conducts experiments on its own.

Key points:

- The autonomous agent modifies train.py to optimize the model.

- learning process takes place in a fixed timeframe of 5 minutes, after which it evaluates the results and continues the iterations.

- Using a simple interface program.md, users can configure the agent to optimize models without directly interfering with the code.
- Support for only one NVIDIA GPU.

GitHub #python

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