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compare_samples.py
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data_set_tool.py
Break dependency cycle between augmentation and config
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graphdef_binary_to_text.py
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import_aidatatang.py
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import_aishell.py
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import_ccpmf.py
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import_cv2.py
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import_cv.py
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import_fisher.py
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import_freestmandarin.py
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import_gram_vaani.py
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import_ldc93s1.py
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import_librivox.py
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import_lingua_libre.py
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import_m-ailabs.py
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import_magicdata.py
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import_mls_english.py
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import_primewords.py
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import_slr57.py
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import_swb.py
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import_swc.py
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import_ted.py
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import_timit.py
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import_tuda.py
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import_vctk.py
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import_voxforge.py
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ops_in_graph.py
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play.py
Break dependency cycle between augmentation and config
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README.rst
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run-ci-graph_augmentations.sh
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run-ci-ldc93s1_checkpoint_bytes.sh
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run-ci-ldc93s1_checkpoint_sdb.sh
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run-ci-ldc93s1_checkpoint.sh
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run-ci-ldc93s1_new_bytes_tflite.sh
Remove alphabet.txt from CI tests with bytes_output_mode
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run-ci-ldc93s1_new_bytes.sh
Split train.py into separate modules
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run-ci-ldc93s1_new_metrics.sh
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run-ci-ldc93s1_new_sdb_csv.sh
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run-ci-ldc93s1_new_sdb.sh
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run-ci-ldc93s1_new.sh
Split train.py into separate modules
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run-ci-ldc93s1_singleshotinference.sh
Exercise training graph inference/Flashlight decoder in extra training tests
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run-ci-ldc93s1_tflite.sh
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run-ci-sample_augmentations.sh
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run-ci-transfer.sh
Switch flag/config handling to Coqpit
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run-ldc93s1.py
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run-ldc93s1.sh
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