aws/amazon-sagemaker-examples

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

0 0 1 Jupyter Notebook

	_static
	_templates
	.github
	advanced_functionality
	archived
	async-inference
	autopilot
	aws_marketplace
	aws_sagemaker_studio
	boto3
	code_snippets
	contrib
	end_to_end
	frameworks
	ground_truth_labeling_jobs
	hyperparameter_tuning
	inference
	ingest_data
	introduction_to_amazon_algorithms
	introduction_to_applying_machine_learning
	licenses
	ml-lifecycle
	model-governance
	multi-model-endpoints
	prep_data
	r_examples
	reinforcement_learning
	sagemaker_batch_transform
	sagemaker_endpoints
	sagemaker_model_governance
	sagemaker_model_monitor
	sagemaker_neo_compilation_jobs
	sagemaker_processing
	sagemaker-clarify
	sagemaker-datawrangler
	sagemaker-debugger
	sagemaker-experiments
	sagemaker-featurestore
	sagemaker-fundamentals
	sagemaker-inference-deployment-guardrails
	sagemaker-inference-recommender
	sagemaker-jumpstart
	sagemaker-lineage
	sagemaker-mlflow
	sagemaker-notebook-jobs
	sagemaker-pipeline-compare-model-versions
	sagemaker-pipeline-multi-model
	sagemaker-pipeline-parameterization
	sagemaker-pipelines
	sagemaker-python-sdk
	sagemaker-remote-function
	sagemaker-script-mode
	sagemaker-shadow-variant
	sagemaker-spark
	sagemaker-training-compiler
	sagemaker-triton
	scientific_details_of_algorithms
	serverless-inference
	step-functions-data-science-sdk
	synthetic_data
	training
	use-cases
	utils
	.gitignore	224 B
	.readthedocs.yml	374 B
	CODEOWNERS	31 B
	conf.py	2.3 KB
	config.json	51 B
	CONTRIBUTING.md	21.5 KB
	environment.yml	224 B
	index.rst	5.8 KB
	intro.rst	3.1 KB
	LICENSE.txt	11.9 KB
	make.bat	795 B
	Makefile	634 B
	NOTICE	93 B
	README.md	38.9 KB
	tox.ini	724 B