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aws / amazon-sagemaker-examples UNCLAIMED

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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sm-a_b_testing
sm-app_autoscaling_realtime_endpoints
sm-app_autoscaling_realtime_endpoints_inference_components
sm-app_autoscaling_realtime_endpoints_step_scaling
sm-async_inference_walkthrough
sm-async_inference_with_python_sdk
sm-batch_inference_with_torchserve
sm-batch_transform_pca_dbscan_movie_clusters
sm-batch_transform_pytorch
sm-batch_transform_with_torchserve
sm-clarify_model_bias_monitor_batch_transform
sm-clarify_model_bias_monitor_batch_transform_json
sm-clarify_model_bias_monitor_for_endpoint
sm-clarify_model_bias_monitor_for_endpoint_json
sm-deployment_guardrails_update_inference_endpoint_with_linear_traffic_shifting
sm-deployment_guardrails_update_inference_endpoint_with_rolling_deployment
sm-deployment_guardrails_update_inference_endpoint_with_with_canary_traffic_shifting
sm-host_pretrained_model_bert
sm-inference_pipeline_with_scikit_linear_learner
sm-lineage_cross_account_queries_with_ram
sm-marketplace_using_model_package_arn
sm-mme_with_torchserve
sm-model_monitor_batch_transform_data_quality_on_schedule
sm-model_monitor_batch_transform_model_quality_on_schedule
sm-model_monitor_bias_and_explainability_monitoring
sm-model_monitor_byoc_llm_monitor
sm-model_monitor_introduction
sm-model_monitor_model_quality_monitoring
sm-multi_container_endpoint_direct_invocation
sm-multi_model_endpoint_bring_your_own_container
sm-serverless_inference_huggingface_text_classification
sm-shadow_variant_shadow_api
sm-triton_inferentia2
sm-triton_mme_bert_trt
sm-triton_mme_gpu_ensemble_dali
sm-triton_nlp_bert
sm-triton_realtime_sme_flan_t5
sm-triton_tensorrt-sentence_transformer
sm-xgboost_bring_your_own_model
README.md
sm-inference_recommender_introduction.ipynb
sm-serverless_inference.ipynb
sm-triton_realtime_sme.ipynb
sm-triton_tensorflow_model_deploy.ipynb