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azure-machine-learning-examples
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cli\endpoints\batch\deploy-models\imagenet-classifier\code\score-by-file\batch_driver.py
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cli\endpoints\batch\deploy-models\openai-embeddings\code\batch_driver.py
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cli\endpoints\batch\deploy-models\imagenet-classifier\deploy-and-run.sh
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cli\endpoints\batch\deploy-models\imagenet-classifier\code\score-by-batch\batch_driver.py
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cli\endpoints\batch\deploy-models\heart-classifier-mlflow\deployment-custom\code\batch_driver_parquet.py
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cli\endpoints\batch\deploy-models\huggingface-text-summarization\code\batch_driver.py
6 1 1
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cli\endpoints\batch\deploy-models\heart-classifier-mlflow\deployment-custom\code\batch_driver.py
10 1 1
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cli\endpoints\batch\deploy-models\openai-embeddings\deploy-and-run.sh
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cli\endpoints\batch\deploy-models\huggingface-text-summarization\deploy-and-run.sh
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cli\endpoints\batch\deploy-models\custom-outputs-parquet\deploy-and-run.sh
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cli\endpoints\batch\deploy-models\custom-outputs-parquet\code\batch_driver.py
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cli\endpoints\online\triton\single-model\olive_model_analyzer\Plot_Performance_Results.py
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cli\endpoints\online\triton\single-model\olive_model_analyzer\config_bert_olive_analyze.yml
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v1\python-sdk\workflows\train\deepspeed\cifar\src\train.py
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cli\assets\model\mlflow-model\requirements.txt
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cli\endpoints\batch\deploy-pipelines\batch-scoring-with-preprocessing\components\prepare\src\prepare.py
8 1 1
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best-practices\largescale-deep-learning\Training\DeepSpeed-Autotuning\src\start-deepspeed.sh
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cli\assets\component\train_src\train.py
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best-practices\largescale-deep-learning\Training\DeepSpeed-Autotuning\src\pretrain_glue.py
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best-practices\largescale-deep-learning\Training\DeepSpeed-Autotuning\src\glue_datasets.py
8 1 1