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University of California, Berkeley
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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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facebookresearch/sam2
facebookresearch/sam2 PublicThe 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…
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frank-xwang/UnSAM
frank-xwang/UnSAM Public[NeurIPS 2024] Code release for "Segment Anything without Supervision"
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MarkLYX0411/CS280-_Project_autoregressive_diffusion
MarkLYX0411/CS280-_Project_autoregressive_diffusion PublicJupyter Notebook 1
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