Few-Shot Bearing Fault Diagnosis with Multimodal LLMs and Prototypical Networks

Initial release of the few-shot bearing fault diagnosis framework using multimodal LLMs and prototypical networks. Features: Support for multiple MLLMs: GPT-4o, GPT-5.1, Claude 4.5 Haiku/Sonnet, LLaVA-1.5-7B Prototypical Networks baseline with ResNet-50 and Swin Transformer V2-T 1-shot, 5-shot, and 10-shot evaluation Automated metrics computation with confidence intervals CWT image preprocessing for vibration signal analysis Requirements: Python 3.8+ OpenAI/Anthropic API keys for cloud models User-provided bearing vibration datasets (CWT images) See README.md for installation and usage instructions.