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python verification.py --model_name ecapa_tdnn --wav1 vox1_data/David_Faustino/hn8GyCJIfLM_0000012.wav --wav2 vox1_data/Josh_Gad/HXUqYaOwrxA_0000015.wav
2023-08-03 18:48:40 | INFO | fairseq.tasks.te…
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### Description
Add missing function to handle cosine_similarity prestosql function
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Title is fairly self explanatory, I've found the need for cosine distance at various times (and other distance metrics) that probably fit well in ndarray-stats. Maybe here we can decided on a few diff…
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Hi, I train a vit_base_patch32 model with reslution 224 on imagenet, the valid acc comes up to 73.38%, then I dump all transformer blocks' outputs, calculate cosine similarity between them as mentione…
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Update print("Cosine similarity between first and second book:")
cosine_similarity needs updating
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Only uses L2 distance for now
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Hi,
I was checking ESM-3 structure embedding, and ESM-3 sequence embedding, and found that the distance between embeddings is very less ( 0.0001) . I am curious how ESM-3 model is pre-trained with …
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The calculation of cosine similarity in your code is as follows,
dist_i = F.conv2d(featureI_i, featureT_patch)
But I do not understand why conv2d can implement it, can you explain it? Th…
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In _Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks_ Section 4:Evaluation - Semantic Textual Similarity, you include the Spearman rank correlation between the cosine similarity of the e…
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