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  • University of California, Berkeley
  • Berkeley
  • 05:27 (UTC -08:00)

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  1. huggingface/transformers huggingface/transformers Public

    🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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  2. facebookresearch/sam2 facebookresearch/sam2 Public

    The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

    Jupyter Notebook 17.6k 2.2k

  3. frank-xwang/UnSAM frank-xwang/UnSAM Public

    [NeurIPS 2024] Code release for "Segment Anything without Supervision"

    Jupyter Notebook 488 27

  4. MarkLYX0411/CS280-_Project_autoregressive_diffusion MarkLYX0411/CS280-_Project_autoregressive_diffusion Public

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