CoreNet is a deep learning training toolkit developed by Apple that enables researchers and engineers to train both standard and novel small and large-scale models across a variety of tasks. The library supports foundation models such as CLIP and LLMs (including the OpenELM family), computer vision tasks like object classification, detection, and semantic segmentation. It provides training and evaluation recipes along with pre-trained model checkpoints.