Shypd.aiThe largest open index of AI toolsSuper-gradients is an open-source training library for computer vision models, enabling easy training or fine-tuning of state-of-the-art models. It is the home of Yolo-NAS, offering production-ready deep learning SOTA vision models.
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Super-gradients is an open-source training library designed to simplify the process of building, training, and fine-tuning state-of-the-art computer vision models. It provides ready-to-deploy pre-trained models, including the high-performance YOLO-NAS and YOLO-NAS-POSE architectures, which outperform other YOLO versions in accuracy and speed. The library supports various computer vision tasks such as classification, semantic segmentation, object detection, and pose estimation. Users can easily load and fine-tune models with validated hyper-parameters, and all models are production-ready, compatible with deployment tools like TensorRT and OpenVINO. Super-gradients also offers advanced features like Quantization Aware Training (QAT) and Knowledge Distillation, along with support for Distributed Data Parallel (DDP) for efficient multi-GPU training.
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