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fairseq
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Name
Complexity
Churn
Issues
A
fairseq\data\indexed_dataset.py
118 3 1
A
fairseq\dataclass\utils.py
118 4 5
B
examples\multilingual\data_scripts\download_wmt19_and_before.py
114 2 2
A
fairseq\data\codedataset.py
111 2 4
A
fairseq_cli\train.py
108 2 4
A
examples\MMPT\mmpt\models\mmfusionnlg.py
107 2 3
A
tests\speech_recognition\asr_test_base.py
106 2 -
A
fairseq\models\lightconv.py
106 4 -
A
examples\MMPT\mmpt\evaluators\predictor.py
105 2 2
A
examples\data2vec\models\modalities\base.py
105 2 2
A
examples\noisychannel\rerank_utils.py
105 2 -
A
examples\wav2vec\unsupervised\w2vu_generate.py
104 3 4
A
fairseq\models\speech_dlm\modules\speech_dlm_decoder_layer.py
103 2 2
A
examples\speech_text_joint_to_text\models\s2t_dualinputtransformer.py
103 2 -
A
examples\data2vec\models\data2vec_vision.py
102 2 1
A
examples\speech_recognition\models\vggtransformer.py
100 2 1
A
examples\data2vec\models\data2vec_text.py
100 2 2
A
fairseq\modules\kmeans_attention.py
100 1 1
A
fairseq\model_parallel\models\pipeline_parallel_transformer\model.py
99 3 -
A
fairseq\models\lstm.py
98 2 1