CUDA→ROCm Migration Agent

rocm-migrate is a comprehensive toolchain designed to accelerate the transition from NVIDIA CUDA to AMD ROCm environments. At its core, it features a sophisticated two-phase migration agent: a high-speed, rule-based pass handles deterministic API replacements, while a multi-agent LLM loop—utilizing the Qwen-based DeepSeek-R1 (DeepSeek-R1-Distill-Qwen-32B) for complex reasoning and Mistral Codestral for execution—resolves intricate code patterns like custom kernels, NVTX profiling, and mixed-precision idioms. The project demonstrates the real-world utility of ROCm through two additional high-performance tracks optimized for AMD MI300X hardware. Track 2 introduces a DINOv2-Large model fine-tuned on the CCMT plant disease dataset, achieving an impressive 97.06% accuracy and 0.9713 F1 score. Track 3 extends this into conversational AI with a Llama 3.2 11B Vision LoRA adapter, providing multimodal diagnostics and treatment guidance from leaf imagery. Together, these tracks showcase a complete ecosystem—from automated infrastructure migration to production-ready computer vision and generative AI applications—validated on the latest AMD hardware and accessible via a live interactive demo on Hugging Face.