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fairseq
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CodeFactor Rating A
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Name
Complexity
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Issues
A
fairseq\data\multilingual\multilingual_utils.py
9
2
-
A
examples\mms\data_prep\text_normalization.py
9
2
-
A
examples\multilingual\data_scripts\check_iswlt_test_data.py
9
2
1
A
fairseq\data\audio\dataset_transforms\noisyoverlapaugment.py
9
2
1
A
fairseq\data\append_token_dataset.py
9
1
-
A
fairseq\criterions\label_smoothed_cross_entropy_with_ctc.py
9
3
-
A
fairseq\modules\fp32_instance_norm.py
9
1
-
A
tests\test_file_io.py
9
1
-
A
fairseq\benchmark\dummy_dataset.py
9
2
-
A
tests\test_espnet_multihead_attention.py
9
2
-
A
fairseq\modules\quantization\pq\pq.py
9
1
-
A
examples\speech_recognition\data\data_utils.py
9
1
-
A
examples\MMPT\scripts\video_feature_extractor\shard_feature.py
9
2
-
A
examples\textless_nlp\gslm\unit2speech\tts_data.py
9
2
-
A
fairseq\modules\beamable_mm.py
8
1
-
A
fairseq\models\transformer_align.py
8
1
-
A
examples\attention_head_selection\src\modules\attn_head_selector.py
8
2
-
A
examples\textless_nlp\gslm\speech2unit\clustering\cluster_kmeans.py
8
2
-
A
tests\test_dataset.py
8
1
-
A
examples\textless_nlp\gslm\speech2unit\pretrained\w2v2_feature_reader.py
8
3
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