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azure-machine-learning-examples
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cli\jobs\pipelines-with-components\image_classification_with_densenet\image_cnn_train\entry.py
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cli\jobs\pipelines-with-components\image_classification_with_densenet\image_cnn_train\image_classification\dataloaders.py
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cli\jobs\pipelines-with-components\basics\1a_e2e_local_components\train_src\train.py
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cli\jobs\pipelines-with-components\basics\1b_e2e_registered_components\train_src\train.py
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cli\foundation-models\system\inference\image-instance-segmentation\prepare_data.py
3 2 1
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cli\foundation-models\system\inference\image-instance-segmentation\image-instance-segmentation-online-endpoint.sh
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cli\foundation-models\system\inference\image-classification\prepare_data.py
10 2 1
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cli\foundation-models\system\inference\fill-mask\prepare-batch-dataset.py
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cli\foundation-models\system\finetune\video-multi-object-tracking\mmtracking-mot17tiny-mot.sh
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cli\foundation-models\system\finetune\video-multi-object-tracking\prepare_data.py
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cli\foundation-models\system\finetune\text-to-image\diffusers-dreambooth-dog-text-to-image.sh
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cli\endpoints\online\triton\single-model\olive_model_analyzer\Plot_Performance_Results.py
53 1 1
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cli\endpoints\online\triton\single-model\olive_model_analyzer\config_bert_olive_analyze.yml
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cli\endpoints\online\ncd\lightgbm-iris\model\requirements.txt
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cli\endpoints\online\triton\single-model\triton_densenet_scoring.py
1 1 1
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cli\endpoints\online\model-1\onlinescoring\score_managedidentity.py
2 1 1
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cli\endpoints\online\managed\vnet\sample\environment\Dockerfile
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cli\endpoints\online\custom-container\r\multimodel-plumber\scripts\start_plumber.R
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cli\endpoints\online\managed\inference-schema\code\score-pandas.py
0 1 1
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cli\endpoints\batch\deploy-pipelines\training-with-components\components\train_xgb\src\train_xgb.py
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