├── .gitignore ├── 01_groundtruth(optional) └── README.md ├── 02_preprocessing ├── README.md ├── data_preprocessing.ipynb ├── preprocessing.py └── statics │ └── birds.png ├── 03_training ├── README.md ├── pytorch │ ├── cv_hpo_pytorch_pipe.ipynb │ └── source_dir │ │ └── cifar10.py ├── statics │ ├── CIFAR-10.png │ ├── Experiments.png │ └── HPO_experiments.png └── tensorflow │ ├── cv_hpo_keras_pipe.ipynb │ └── source_dir │ └── keras_cifar10.py ├── 04_advanced_training ├── README.md ├── pytorch │ ├── code │ │ ├── inference.py │ │ ├── model_def.py │ │ └── train_pytorch_smdataparallel_mnist.py │ ├── pytorch_smdataparallel_mnist_demo.ipynb │ └── static │ │ └── ss.png └── tensorflow │ ├── code │ ├── train_param_server_debugger.py │ ├── train_param_server_debugger2.py │ └── train_sdp_debugger_3.py │ ├── distributed_training_tf.ipynb │ └── static │ └── debugger_output.png ├── 05_model_evaluation_and_model_explainability ├── 05a_model_evaluation │ ├── code │ │ ├── inference.py │ │ ├── requirements-gpu.txt │ │ ├── requirements.txt │ │ └── train-mobilenet.py │ ├── docker │ │ ├── Dockerfile │ │ └── requirements.txt │ ├── evaluation.py │ ├── model-evaluation-processing-job.ipynb │ └── optional-prepare-data-and-model.ipynb ├── 05b_model_explainability │ ├── code │ │ ├── inference.py │ │ ├── requirements-gpu.txt │ │ ├── requirements.txt │ │ └── train-mobilenet.py │ ├── optional-prepare-data-and-model-explainability-clarify.ipynb │ └── preprocessing.py └── README.md ├── 06_training_pipeline ├── README.md ├── code │ ├── inference.py │ ├── requirements-gpu.txt │ ├── requirements.txt │ └── train-mobilenet.py ├── evaluation.py ├── lambda │ ├── index.py │ └── lambda.zip ├── pipeline.ipynb ├── pipeline.py ├── preprocess.py ├── sagemaker-project.yaml └── statics │ ├── birds.png │ ├── compare-model.png │ ├── confussion_matrix.png │ ├── cost-explore.png │ ├── cv-training-pipeline.png │ ├── execute-pipeline.png │ ├── parameters-input.png │ ├── project-parameter.png │ ├── project-template.png │ └── studio-ui-pipeline.png ├── 07_deployment ├── README.md ├── cloud_deployment │ ├── cv_utils.py │ ├── sagemaker-deploy-model-for-inference.ipynb │ └── statics │ │ └── active-sagemaker-endpoints.png ├── edge_deployment │ ├── README.md │ ├── arm64-edge-manager-greengrass-v2.ipynb │ ├── build │ │ ├── image_classification │ │ │ ├── agent_pb2.py │ │ │ ├── agent_pb2_grpc.py │ │ │ └── inference.py │ │ └── installer.sh │ └── static │ │ ├── 1_select_AMI.png │ │ ├── 2_select_instance.png │ │ ├── 4_deploy_greengrass.png │ │ ├── 5_deployment_dashboard.png │ │ ├── 6_monitoring_core_device.png │ │ └── x_deployment_error.png └── optional-prepare-data-and-model.ipynb ├── 08_end-to-end ├── 1_training │ ├── 0.bird-end2end-ml-pipeline.ipynb │ ├── README.md │ ├── __init__.py │ ├── input.manifest │ ├── pipeline │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── pipeline.cpython-37.pyc │ │ │ └── pipeline_tuning.cpython-37.pyc │ │ ├── code │ │ │ ├── __init__.py │ │ │ ├── train.py │ │ │ └── train_debugger.py │ │ ├── evaluation.py │ │ ├── pipeline.py │ │ ├── pipeline_tuning.py │ │ └── preprocess.py │ └── statics │ │ ├── birds.png │ │ ├── debugger_access.png │ │ ├── debugger_node_profiler.png │ │ ├── debugger_profiler.png │ │ ├── debugger_summary.png │ │ ├── end2end.png │ │ ├── execute-pipeline.png │ │ ├── manual_approval.png │ │ ├── model_registry.png │ │ ├── panorama_test.png │ │ └── test_util_folder.png ├── 2_deployment │ ├── bird_demo.ipynb │ └── bird_demo_app │ │ ├── graphs │ │ └── bird_demo_app │ │ │ └── graph.json │ │ └── packages │ │ ├── .keep │ │ ├── 987720697751-BIRD_DEMO_CODE-1.0 │ │ ├── Dockerfile │ │ ├── descriptor.json │ │ ├── package.json │ │ └── src │ │ │ ├── .keep │ │ │ └── app.py │ │ ├── 987720697751-BIRD_DEMO_TF_MODEL-1.0 │ │ ├── descriptor.json │ │ └── package.json │ │ └── 987720697751-RTSP_STREAM-1.0 │ │ └── package.json └── README.md ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── README.md └── 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