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fairseq
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Name
Complexity
Churn
Issues
A
examples\data2vec\models\data2vec_vision.py
102 2 1
A
examples\speech_text_joint_to_text\models\s2t_dualinputtransformer.py
103 2 -
A
fairseq\models\speech_dlm\modules\speech_dlm_decoder_layer.py
103 2 2
A
examples\wav2vec\unsupervised\w2vu_generate.py
104 3 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
tests\speech_recognition\asr_test_base.py
106 2 -
A
fairseq\models\lightconv.py
106 4 -
A
examples\MMPT\mmpt\models\mmfusionnlg.py
107 2 3
A
fairseq_cli\train.py
108 2 4
A
fairseq\data\codedataset.py
111 2 4
B
examples\multilingual\data_scripts\download_wmt19_and_before.py
114 2 2
A
fairseq\data\indexed_dataset.py
118 3 1
A
fairseq\dataclass\utils.py
118 4 5
A
fairseq\models\wav2vec\wav2vec2_asr.py
121 6 3
B
fairseq\modules\multihead_attention.py
124 4 5
A
fairseq\optim\fp16_optimizer.py
129 2 1
C
examples\MMPT\mmpt\processors\how2processor.py
134 2 6
A
fairseq\data\audio\speech_to_text_dataset.py
134 6 1