【[9星]NoLA：一种无需标签的图像分类方法，通过利用大型语言模型和预训练的视觉模型，提升图像分类的准确性，无需大量标注数据，降低了成本】'NoLA (No Labels Attached) - A label-free prompt-tuning method that enhances CLIP-based imageification using unlabelled images by leveraging DINO's visual features and large language models (LLMs).' GitHub: github.com/fazliimam/NoLA
