Shypd.aiThe largest open index of AI toolsCoreNet is a deep neural network toolkit that allows researchers and engineers to train standard and novel small and large-scale models. It supports foundation models, object classification, detection, and semantic segmentation.
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CoreNet is a comprehensive deep neural network toolkit developed by Apple, designed to empower researchers and engineers in training a wide array of models. It facilitates the development of both standard and novel small and large-scale models, including foundation models like CLIP and LLM. The library supports diverse tasks such as object classification, object detection, and semantic segmentation. CoreNet evolved from CVNets, expanding its capabilities beyond computer vision to encompass a broader range of applications, including large language models. It provides reproducible training recipes, pre-trained model weights, and checkpoints, making it a valuable resource for academic and industrial research.
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