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IQA-PyTorch-Weights

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IQA-PyTorch-Weights

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  1. Upload QualiCLIP (#1)⁠

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  2. Upload ARNIQA.pth

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  1. Upload topiq_nr_gfiqa_swin-7bb80a60.pth with huggingface_hub

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  1. Rename topiq_nr_gfiqa_res50-0a8b8e4f.pth to topiq_nr_cgfiqa_res50-0a8b8e4f.pth

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  2. Upload topiq_nr_gfiqa_res50-0a8b8e4f.pth with huggingface_hub

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  1. Update README.md

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  11. Upload sac+logos+ava1-l14-linearMSE.pth

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  12. Upload pt_inception-2015-12-05-6726825d.pth

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  13. Upload UNIQUE.pt

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  15. Delete meta_info.tgz

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  16. Upload WaDIQaM-NR-koniq-aaffea29.pth with huggingface_hub

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  21. Upload topiq_nr_gfiqa_res50-d76bf1ae.pth with huggingface_hub

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  27. Upload NIMA_VGG16_ava-dc4e8265.pth with huggingface_hub

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  30. Upload NIMA-spaq-46a7fcb7.pth with huggingface_hub

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  31. Upload musiq_spaq_ckpt-358bb6af.pth with huggingface_hub

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  33. Upload musiq_koniq_ckpt-e95806b9.pth with huggingface_hub

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  34. Upload musiq_imagenet_pretrain-51d9b0a5.pth with huggingface_hub

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  37. Upload MANIQA_PIPAL-ae6d356b.pth with huggingface_hub

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  38. Upload LPIPS_v0.1_vgg-a78928a0.pth with huggingface_hub

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