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    Transformers

    Transformers

    State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX

    ...Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments.
    Downloads: 5 This Week
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  • 2
    YOLOv5

    YOLOv5

    YOLOv5 is the world's most loved vision AI

    ...Explore the YOLOv8 Docs, a comprehensive resource designed to help you understand and utilize its features and capabilities. Whether you are a seasoned machine learning practitioner or new to the field, this hub aims to maximize YOLOv8's potential in your projects.
    Downloads: 51 This Week
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  • 3
    DETR

    DETR

    End-to-end object detection with transformers

    PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based...
    Downloads: 0 This Week
    Last Update:
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