├── .github ├── CODEOWNERS └── workflows │ └── docker-description.yaml ├── LICENSE ├── README.md ├── aws ├── .gitignore ├── README.md ├── autogluon │ └── autogluon_airline.ipynb ├── code │ ├── Dockerfile │ ├── HPOConfig.py │ ├── HPODatasets.py │ ├── MLWorkflow.py │ ├── entrypoint.sh │ ├── local_testing │ │ ├── Dockerfile.14 │ │ ├── Dockerfile.15 │ │ ├── Dockerfile.16 │ │ └── build_and_run_local_hpo.sh │ ├── serve.py │ ├── train.py │ └── workflows │ │ ├── MLWorkflowMultiCPU.py │ │ ├── MLWorkflowMultiGPU.py │ │ ├── MLWorkflowSingleCPU.py │ │ └── MLWorkflowSingleGPU.py ├── environment_setup │ ├── README.md │ ├── docker_ebs_volume.ipynb │ └── lifecycle_script ├── gpu_tree_shap │ ├── gpu_tree_shap.ipynb │ ├── inference.py │ └── train.py ├── helper_functions.py ├── img │ ├── airline_dataset.png │ ├── cpu_hpo_100x10.png │ ├── estimator.png │ ├── gpu_hpo_100x10.png │ ├── header.png │ ├── hpo.png │ ├── ml_workflow.png │ ├── results.png │ ├── results_analysis.png │ ├── run_hpo.png │ ├── sagemaker_notebook_instance.png │ └── v2_overview.png ├── rapids_ec2_mnmg.ipynb ├── rapids_intro.ipynb ├── rapids_sagemaker_higgs │ ├── README.md │ ├── docker │ │ ├── Dockerfile │ │ └── rapids-higgs.py │ └── sagemaker_rapids_higgs.ipynb ├── rapids_sagemaker_hpo.ipynb ├── rapids_sagemaker_hpo_extended.ipynb └── rapids_studio_hpo.ipynb ├── azure ├── README.md ├── code │ ├── rapids_csp_azure.py │ ├── train_rapids.py │ └── train_sklearn_RF.py ├── img │ ├── Config.JPG │ ├── MLWorkspace.JPG │ ├── MarketPlace.JPG │ ├── Portal.JPG │ └── ResourceGroup.JPG ├── kubernetes │ ├── Dask_cuML_Exploration_Full.ipynb │ ├── Detailed_setup_guide.md │ ├── Dockerfile │ ├── MNMG_XGBoost.ipynb │ ├── README.md │ ├── nvidia-device-plugin-ds.yml │ └── podspecs │ │ └── azure │ │ ├── cpu-worker-specs.yml │ │ ├── cuda-worker-specs.yml │ │ └── scheduler-specs.yml ├── notebook_setup │ └── README.md └── notebooks │ ├── Azure-MNMG-RF.ipynb │ ├── Azure-MNMG-XGBoost.ipynb │ ├── Dockerfile │ ├── HPO-RAPIDS.ipynb │ ├── HPO-SKLearn.ipynb │ ├── Train-RAPIDS.ipynb │ ├── Train-SKLearn.ipynb │ ├── configs │ └── cloud_init.yaml.j2 │ └── remote-explanation │ ├── azure-gpu-shap.ipynb │ └── train_explain.py ├── ci ├── axis.yaml └── run.sh ├── common ├── code │ └── create_packed_conda_env └── docker │ ├── DockerHubREADME.md │ ├── Dockerfile.training.unified │ └── infrastructure │ └── entrypoint.sh ├── dask ├── README.md ├── kubernetes │ ├── Dask_cuML_Exploration.ipynb │ ├── Dask_cuML_Exploration_Full.ipynb │ ├── Dockerfile │ ├── README.md │ └── specs │ │ ├── sched-spec.yaml │ │ └── worker-spec.yaml └── notebooks │ └── HPO_demo.ipynb ├── databricks ├── README.md ├── docker │ └── Dockerfile ├── imgs │ ├── example.png │ └── init_script_config.png ├── notebooks │ ├── rapids_airline_hyperopt.ipynb │ └── rapids_intro.ipynb └── src │ └── rapids_install_cuml0.13_cuda10.0_ubuntu16.04.sh ├── gcp ├── README.md ├── docker │ ├── example_config.json │ ├── example_config_cpuonly.json │ ├── infrastructure │ │ ├── entrypoint.py │ │ └── rapids_lib.py │ └── launch_test.sh ├── images │ ├── arguments_settings.png │ ├── cluster_spec.png │ └── hypertune_settings.png ├── notebook_setup │ └── README.md └── notebooks │ ├── container_build.ipynb │ └── custom_hpo.ipynb ├── img ├── rapids_hpo.png └── rapids_logo.png ├── k8s-dask └── notebooks │ └── xgboost-gpu-hpo-job-parallel-k8s.ipynb ├── mlflow ├── docker_environment │ ├── DetailedConfig.md │ ├── Dockerfile.tracking │ ├── Dockerfile.training │ ├── MLproject │ ├── README.md │ ├── envs │ │ └── conda.yaml │ ├── helm │ │ └── mlflow-tracking-server │ │ │ ├── .helmignore │ │ │ ├── Chart.yaml │ │ │ ├── templates │ │ │ ├── NOTES.txt │ │ │ ├── _helpers.tpl │ │ │ ├── deployment.yaml │ │ │ ├── hpa.yaml │ │ │ ├── ingress.yaml │ │ │ ├── service.yaml │ │ │ └── serviceaccount.yaml │ │ │ └── values.yaml │ ├── images │ │ ├── gcp_attach_account.png │ │ ├── gcp_bucket_permissions.png │ │ ├── gcp_bucket_permissions_2.png │ │ ├── gcp_bucket_roles.png │ │ ├── gcp_cluster_basics.png │ │ ├── gcp_config_bar.png │ │ ├── gcp_hamburger_bar.png │ │ ├── gcp_iam_admin.png │ │ ├── gcp_node_pools_1.png │ │ ├── gcp_node_pools_2.png │ │ ├── gcp_node_pools_3.png │ │ ├── gcp_node_pools_4.png │ │ ├── gcp_node_pools_5.png │ │ ├── gcp_pools.png │ │ ├── gcp_storage.png │ │ ├── network_diagram.png │ │ ├── network_diagram.svg │ │ ├── ts_clean.png │ │ ├── ts_registered_model.png │ │ └── ts_single_run.png │ ├── k8s_config.json │ ├── k8s_job_template.yaml │ └── src │ │ ├── k8s │ │ ├── entrypoint.sh │ │ └── tracking_entrypoint.sh │ │ └── rf_test │ │ ├── test_query.py │ │ └── train.py └── local_environment │ ├── MLproject │ ├── README-Databricks.md │ ├── README.md │ ├── cluster_definitions │ └── training_cluster.json │ ├── envs │ └── conda.yaml │ ├── images │ └── example.png │ ├── notebooks │ └── databricks_mlflow_rapids.ipynb │ └── src │ ├── rf_test │ ├── train.py │ └── train_simple.py │ └── sample_server_query.sh ├── optuna └── notebooks │ ├── azure-optuna │ ├── project_folder │ │ └── train_optuna.py │ └── run_optuna.ipynb │ ├── jupytercon_demo │ ├── RAPIDS_xfeat_Optuna-CPU.ipynb │ ├── RAPIDS_xfeat_Optuna-GPU.ipynb │ └── conda │ │ └── conda.yaml │ └── optuna_rapids.ipynb ├── ray ├── README.md └── notebooks │ └── Ray_RAPIDS_HPO.ipynb └── triton └── kubernetes ├── AWS └── FIL │ ├── Detailed_HPA_Setup.md │ ├── README.md │ ├── helm │ └── charts │ │ ├── .helmignore │ │ └── triton │ │ ├── Chart.yaml │ │ ├── templates │ │ ├── _helpers.tpl │ │ ├── deployment.yaml │ │ ├── hpa.yaml │ │ ├── istio-gateway.yaml │ │ ├── istio-vs.yaml │ │ ├── secrets.yaml │ │ └── service.yaml │ │ └── values.yaml │ ├── model_repository │ ├── cuml_model │ │ ├── 1 │ │ │ ├── checkpoint.tl │ │ │ └── model.pkl │ │ └── config.pbtxt │ ├── light_model │ │ ├── 1 │ │ │ └── model.txt │ │ └── config.pbtxt │ ├── sk_model │ │ ├── 1 │ │ │ ├── checkpoint.tl │ │ │ └── model.pkl │ │ └── config.pbtxt │ └── xgb_model │ │ ├── 1 │ │ └── xgboost.model │ │ └── config.pbtxt │ └── 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