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sagemaker-core
end_to_end_ml_lifecycle
prepare_data
build_and_train_models
deploy_and_monitor
generative_ai
ml_ops
responsible_ai
archived
- AutoML_-_Train_multiple_models_in_parallel
- Image_Classification_VIT
- JPMML_Models_SageMaker
- RestRServe_Example
- Text_Classification_BERT
- albert-base-v2
- amazon_comprehend_sagemaker_pipeline
- amazon_demo_product
- athena_ml_workflow_end_to_end
- auto-scaling
- autogluon-sagemaker-pipeline
- autogluon-tabular-containers
- autogluon-tabular
- autogluon_tabular_marketplace
- automate_model_retraining_workflow
- automating_auto_insurance_claim_processing
- autopilot-serverless-inference
- bandits_recsys_movielens_testbed
- bandits_statlog_vw_customEnv
- basic-training-container
- bedrock-examples
- bert_attention_head_view
- bert_trition_backend
- byoc-nginx-python
- causal-inference
- churn_prediction_multimodality_of_text_and_tabular
- clarify-explainability-inference-pipelines
- computer-vision-examples
- creative-writing-using-gpt-2-text-generation
- credit_card_fraud_detector
- curating_aws_marketplace_listing_and_sample_notebook
- custom-feature-selection
- custom_tensorflow_inference_script_csv_and_tfrecord
- customer_churn
- customizing_build_train_deploy_project
- data_parallel_bert
- deep_demand_forecasting
- deploy_all_options_xgb
- deploy_huggingface_model_on_Inf1_instance
- deploy_pytorch_model_on_Inf1_instance
- distributed_tensorflow_mask_rcnn
- dw_flow
- end_to_end_music_recommendation
- evaluating_aws_marketplace_models_for_person_counting_use_case
- fairness_and_explainability
- fairness_and_explainability_json
- fairness_and_explainability_json_format
- fairness_and_explainability_jsonlines
- fairness_and_explainability_spark
- fairseq_sagemaker_translate_en2fr
- falcon
- fil_ensemble
- framework-container
- frameworks-tensorflow
- fraud_detection
- fraud_detection_using_graph_neural_networks
- fully_sharded_data_parallel-falcon
- geospatial
- getting_started
- gluon_recommender_system
- gluoncv_yolo_neo
- hf-tgi-bloom7b1
- huggingface-inference-recommender
- huggingface-large-model-inference-santacoder
- huggingface_deploy_instructpix2pix
- huggingface_multiclass_text_classification_20_newsgroups
- huggingface_sentiment_classification
- huggingface_text_classification
- identify_key_insights_from_textual_document
- implicit_bpr
- improving_industrial_workplace_safety
- inference-benchmarking
- inference-recommender-with-python-sdk
- inference_pipeline_custom_containers
- ingest-with-aws-services
- jit_trace
- keras_bring_your_own
- keras_script_mode_pipe_mode_horovod
- language-modeling
- llm_monitor_byoc
- lmi-aitemplate-stablediff
- local_experiment_tracking
- machine_learning_workflow_abalone
- managed_spot_training_tensorflow_estimator
- ml-lifecycle
- mme-on-gpu
- mnist
- model_monitor_tensorflow
- monitoring_data_quality_of_models
- mpi_on_sagemaker
- multi_modal_parallel_sagemaker_labeling_workflows_with_step_functions
- multi_model_catboost
- multi_model_linear_learner_home_value
- multi_model_pytorch
  - code
  - pytorch_multi_model_endpoint.ipynb
- multicategory_sec
- multimodal_tabtext
- mxnet_distributed_mnist_neo_inf1
- mxnet_onnx_ei
- nas_for_llm_with_amt
- nlp_mlops_company_sentiment
- nlp_score_dashboard_sec
- notebook-job-step
- object_detection_with_tensorflow_and_tfrecords
- onnx-roberta-backend
- parameterize-spark-config-pysparkprocessor-pipeline
- pipe_bring_your_own
- prep_data
- preprocessing-audio-data-using-a-machine-learning-model
- product_ratings_with_pipelines
- pyspark_mnist
- python-sdk
- pytorch-ic-model
- pytorch-sagemaker-huggingface
- pytorch
- pytorch_cnn_cifar10
- pytorch_deploy_pretrained_bert_model
- pytorch_extend_container_train_deploy_bertopic
- pytorch_horovod_mnist
- pytorch_multiple_gpu_single_node
- pytorch_smdataparallel_mnist_demo
- pytorch_torchvision
- pytorch_triton_inference_recommender
- pytorch_yolov5_training_and_hpo
- r_byo_r_algo_hpo
- r_serving_with_fastapi
- r_serving_with_plumber
- rapids_bring_your_own
- resnet50
- resnet_onnx_backend_SME_triton_v2
- resnet_onnx_pytorch_tensorRT-backend
- resnet_pytorch_python-backend
- retail_recommend
- rl_gamerserver_ray
- rl_hvac_coach_energyplus
- rl_mountain_car_coach_gymEnv
- rl_stock_trading_coach_customEnv
- rl_traveling_salesman_vehicle_routing_coach
- rl_unity_ray
- roberta-base
- roberta_traced_triton
- sagemaker-autopilot-pipelines
- sagemaker-debugger
- sagemaker-featurestore
- sagemaker-huggingface-tgi-hosting-examples
- sagemaker-lineage
- sagemaker-pipeline-compare-model-versions
- sagemaker-pipeline-multi-model
- sagemaker-pipeline-parameterization
- sagemaker-script-mode
- sagemaker_clarify_integration
- sagemaker_job_tracking
- sagemaker_pytorch_model_zoo
- scientific_details_of_algorithms
- scikit_learn_bring_your_own_model
- scikit_learn_data_processing_and_model_evaluation
- scikit_learn_iris
- script-mode-container-2
- script-mode-container
- sentiment_parallel_batch
- seq2seq_translation_en-de
- shadow-console
- single_gpu_single_node
- sklearn-inference-recommender
- sklearn
- sm-train_a_pytorch_model
- smddp_deepspeed_example
- sme_resnet_pytorch_python-backend
- smp-gpt-sharded-data-parallel
- smp-train-gpt-neox-sharded-data-parallel
- smp-train-gptj-sharded-data-parallel-tp
- smp-train-t5-sharded-data-parallel
- stable_diffusion
- streamlit_demo
- studio-scheduling
- t5_pytorch_python-backend
- tensorboard_keras
- tensorflow-cloudwatch
- tensorflow
- tensorflow2-california-housing-sagemaker-pipelines-deploy-endpoint
- tensorflow2_mnist
- tensorflow_action_on_rule
- tensorflow_moving_from_framework_mode_to_script_mode
- tensorflow_open-images_jpg
- tensorflow_profiling
- tensorflow_script_mode_quickstart
- tensorflow_script_mode_training_and_serving
- tensorflow_serving_using_elastic_inference_with_your_own_model
- tensorflow_single_gpu_single_node
- tensort-rt
- text-to-image-fine-tuning
- text_explainability_sagemaker_algorithm
- tf-dali-ensemble-cv
- time_series_deepar
- time_series_forecasting
- timeseries-quantile-selection-dataflow
- training_pipeline_pytorch_mnist
- triton-cv-mme-tensorflow-backend
- using_step_decorator_with_selective_execution
- vision-transformer
- visual_object_detection
- visualization
- workshops
- xgboost_abalone
- xgboost_bring_your_own
- xgboost_ensemble_python-fil-backend
- xgboost_parquet_input_training
- 2_object_detection_train_eval.ipynb
- 3D-point-cloud-input-data-processing.ipynb
- Amazon_JumpStart_Image_Classification.ipynb
- Amazon_JumpStart_Image_Classification_Benchmarking.ipynb
- Amazon_JumpStart_Image_Embedding.ipynb
- Amazon_JumpStart_Inpainting.ipynb
- Amazon_JumpStart_Instance_Segmentation.ipynb
- Amazon_JumpStart_Machine_Translation.ipynb
- Amazon_JumpStart_NLP_Regression_Free_Training.ipynb
- Amazon_JumpStart_Named_Entity_Recognition.ipynb
- Amazon_JumpStart_Object_Detection.ipynb
- Amazon_JumpStart_Question_Answering.ipynb
- Amazon_JumpStart_Regression_Free_Training.ipynb
- Amazon_JumpStart_Semantic_Segmentation.ipynb
- Amazon_JumpStart_Semantic_Segmentation_Extract_Image.ipynb
- Amazon_JumpStart_Sentence_Pair_Classification.ipynb
- Amazon_JumpStart_Text_Classification.ipynb
- Amazon_JumpStart_Text_Generation.ipynb
- Amazon_JumpStart_Text_Summarization.ipynb
- Amazon_JumpStart_Upscaling.ipynb
- Amazon_JumpStart_Zero_Shot_Text_Classification.ipynb
- Amazon_Jumpstart_AlexaTM_20B.ipynb
- Amazon_Tabular_Classification_AutoGluon.ipynb
- Amazon_Tabular_Regression_LightGBM_CatBoost.ipynb
- Amazon_Tabular_Regression_TabTransformer.ipynb
- Amazon_TensorFlow_Image_Classification.ipynb
- Amazon_Tensorflow_Object_Detection.ipynb
- Batch Transform - breast cancer prediction with high level SDK.ipynb
- Batch Transform - breast cancer prediction with lowel level SDK.ipynb
- DeployStableCascade.ipynb
- Dynamic Pricing with Causal Machine Learning and Optimization on Amazon SageMaker.ipynb
- EnsembleLearnerCensusIncome.ipynb
- GPT-J-6B-model-parallel-inference-DJL.ipynb
- GPT-J-6B_DJLServing_with_PySDK.ipynb
- GT_semantic_segmentation_to_COCO.ipynb
- HPO_Analyze_TuningJob_Results.ipynb
- HuggingFace-Async-Inference-Walkthrough.ipynb
- JumpStart_Stable_Diffusion_Inference_Only.ipynb
- Linear_Learner_Regression_csv_format.ipynb
- R_binary_classification_algorithms_comparison.ipynb
- SEC_Retrieval_Summarizer_Scoring.ipynb
- SageMaker-Monitoring-Bias-Drift-for-Batch-Transform-JSON-Lines.ipynb
- SageMaker-Monitoring-Bias-Drift-for-Batch-Transform.ipynb
- SageMaker_Keyspaces_ml_example.ipynb
- Sklearn_on_SageMaker_end2end.ipynb
- Transcription_on_SM_endpoint.ipynb
- algorithms.ipynb
- ap-batch-transform.ipynb
- automatic-speech-recognition.ipynb
- autopilot_customer_churn_high_level_with_evaluation.ipynb
- autopilot_ts_data_merge.ipynb
- bias_detection_with_predicted_label_and_facet_datasets.ipynb
- bloom-z-176b-few-shot-and-zero-shot-learning.ipynb
- boto3_scikit_retrain_model_and_deploy_to_existing_endpoint.ipynb
- bring_your_own_container.ipynb
- build_gan_with_pytorch.ipynb
- churn-prediction-lightgbm-catboost-tabtransformer-autogluon.ipynb
- custom_dog_image_generator.ipynb
- data_analysis_of_ground_truth_image_classification_output.ipynb
- deepar_chicago_traffic_violations.ipynb
- distilgpt2-tgi.ipynb
- djl_deepspeed_deploy_opt30b.ipynb
- djl_deepspeed_deploy_opt30b_no_custom_inference_code.ipynb
- download_weights.ipynb
- endpoints.ipynb
- explainability_with_pdp.ipynb
- fairness_and_explainability_jsonlines_format.ipynb
- fairness_and_explainability_outputs.ipynb
- falcon-7b-instruction-domain-adaptation-finetuning.ipynb
- feature_store_securely_store_images.ipynb
- financial_payment_classification.ipynb
- forecast_example.ipynb
- frameworks.ipynb
- from_unlabeled_data_to_deployed_machine_learning_model_ground_truth_demo_image_classification.ipynb
- get_started_mnist_train_outputs.ipynb
- gpt2-large-tgi.ipynb
- gpt2-tgi.ipynb
- gpt2-xl-tgi.ipynb
- granite-code-instruct.ipynb
- ground_truth_annotation_dense_point_cloud_tutorial.ipynb
- hello_world_workflow.ipynb
- hf-tgi-flan-t5-xl.ipynb
- image-classification-with-shutterstock-datasets.ipynb
- image-generation-stable-diffusion.ipynb
- ingest_image_data.ipynb
- ingest_tabular_data.ipynb
- ingest_text_data.ipynb
- instant-recommendations.ipynb
- instruction-fine-tuning-flan-t5.ipynb
- kmeans_bring_your_own_model.ipynb
- kmeans_mnist.ipynb
- linear_learner_mnist.ipynb
- open-assistant-chatbot.ipynb
- pyspark-etl-training.ipynb
- pyspark_mnist_custom_estimator.ipynb
- pyspark_mnist_pca_mllib_kmeans.ipynb
- pytorch_mnist_elastic_inference.ipynb
- question_answering_jumpstart_knn.ipynb
- question_answering_pinecone_llama-2_jumpstart.ipynb
- question_answering_text_embedding_llama-2_jumpstart.ipynb
- r_sagemaker_hello_world.ipynb
- r_xgboost_batch_transform.ipynb
- r_xgboost_hpo_batch_transform.ipynb
- risk_bucketing.ipynb
- sagemaker-countycensusclustering.ipynb
- sagemaker-lightgbm-distributed-training-dask.ipynb
- sagemaker-lineage-multihop-queries_outputs.ipynb
- sagemaker-neo-tf-unet.ipynb
- sagemaker_autopilot_abalone_parquet_input.ipynb
- sagemaker_autopilot_direct_marketing.ipynb
- sagemaker_autopilot_neo4j_portfolio_churn.ipynb
- scikit_learn_model_registry_batch_transform.ipynb
- serverless-model-registry.ipynb
- sklearn_multi_model_endpoint_home_value.ipynb
- smp-finetuning-gpt-neox-fsdp-tp.ipynb
- smp-train-gpt-neox-fsdp-tp.ipynb
- sparkml_serving_emr_mleap_abalone.ipynb
- step_functions_mlworkflow_scikit_learn_data_processing_and_model_evaluation.ipynb
- tensorflow_BYOM_iris.ipynb
- text-embedding-sentence-similarity.ipynb
- text-generation-chatbot.ipynb
- text-generation-falcon.ipynb
- text-generation-few-shot-learning.ipynb
- text-generation-open-llama.ipynb
- text2text-generation-Batch-Transform.ipynb
- text2text-generation-bloomz.ipynb
- text2text-generation-flan-t5-ul2.ipynb
- text2text-generation-flan-t5.ipynb
- tf-resnet-profiling-multi-gpu-multi-node.ipynb
- tgi-bloom-560m.ipynb
- tgi-gpt-neox-20b.ipynb
- upgrade_to_v2.ipynb
- using-dataset-product-from-aws-data-exchange-with-ml-model-from-aws-marketplace.ipynb
- vilt-b32-finetuned-vqa.ipynb
- xgboost-census-debugger-rules.ipynb
- xgboost-inference-recommender.ipynb
- xgboost_customer_churn_outputs.ipynb
- xgboost_mnist.ipynb
- xgboost_multi_model_endpoint_home_value.ipynb
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CODEOWNERS
CONTRIBUTING.md
LICENSE.txt
Makefile
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README.md
conf.py
config.json
environment.yml
index.rst
intro.rst
make.bat
new_file_structure_updated_notebook_names_and_folders.xlsx
tox.ini

multi_model_pytorch

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