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sagemaker-core
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- tensorflow_open-images_jpg
- tensorflow_profiling
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- 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
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- triton-cv-mme-tensorflow-backend
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- vision-transformer
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- xgboost_abalone
- xgboost_bring_your_own
- xgboost_ensemble_python-fil-backend
  - images
  - model_cpu_repository
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  - README.md
  - create_prep_env.sh
  - data_infer.csv
  - label_encoders.pkl
  - mme_triton_xgb_fil_ensemble.ipynb
  - on_start.sh
  - xgboost.json
- 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
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README.md
conf.py
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index.rst
intro.rst
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tox.ini

xgboost_ensemble_python-fil-backend

Name		Name	Last commit message	Last commit date
parent directory ..
images		images
model_cpu_repository		model_cpu_repository
model_gpu_repository		model_gpu_repository
README.md		README.md
create_prep_env.sh		create_prep_env.sh
data_infer.csv		data_infer.csv
label_encoders.pkl		label_encoders.pkl
mme_triton_xgb_fil_ensemble.ipynb		mme_triton_xgb_fil_ensemble.ipynb
on_start.sh		on_start.sh
xgboost.json		xgboost.json

README.md

Amazon SageMaker Examples for Inferencing

Example Jupyter notebooks that demonstrate how to deploy booster based machine learning models using Amazon SageMaker. Examples will be for regular and Multi Model end points

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Amazon SageMaker Examples for Inferencing

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README.md

Amazon SageMaker Examples for Inferencing