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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
training aws data-science machine-learning reinforcement-learning deep-learning examples jupyter-notebook inference sagemaker mlops
Probabilistic time series modeling in Python
aws data-science machine-learning timeseries deep-learning time-series mxnet torch pytorch artificial-intelligence neural-networks forecasting time-series-prediction time-series-forecasting sagemaker
A library for training and deploying machine learning models on Amazon SageMaker
Provide JSON file template that demonstrate how to create customize Well-Architected reviews using Custom lenses.
lambda athena dynamodb s3 glue apigateway saas documentdb elasticache lambdas iceberg flower opensearch personalize sagemaker
Application implementation with business use cases for safely utilizing generative AI in business operations
react aws lambda typescript chatbot bedrock image-generation nova mistral claude sagemaker rag llm generative-ai claude3 command-r llama3 deepseek-r1 claude4
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
aws chatbot bedrock aurora semantic-search opensearch cdk claude sagemaker huggingface kendra llm langchain opensearch-serverless pgvector vectordb genai amazon-bedrock idefics
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
training aws machine-learning deep-learning deploy inference sagemaker huggingface amazon-sagemaker-lab sagemaker-studio-lab
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
agent aws summarization knowledge-base opensearch step-functions content-generation sagemaker appsync aws-cdk huggingface question-answering-system llm generative-ai langchain retrieval-augmented-generation amazon-bedrock
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Training deep learning models on AWS and GCP instances
LLMs and Machine Learning done easily
openai cohere sagemaker large-language-models llm generative-ai langchain llmops large-language-model anthropic langchain-python llm-inference open-source-llm ai-gateway
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
data-science machine-learning knime pachyderm databricks datarobot azureml h2oai dataiku seldon iguazio sagemaker kubeflow mlops mlflow google-ai-platform
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
A Spark library for Amazon SageMaker.
Library for automatic retraining and continual learning
aws machine-learning neural-network machine-learning-algorithms pytorch hyperparameters-optimization neural hyperparameter-tuning sagemaker continual-learning pytorch-lightning
One-command AWS audit: find cost waste, detect security gaps, audit GenAI (Bedrock/SageMaker), and map your attack surface across 30+ services.
python aws security-audit cloud iam waf bedrock privilege-escalation devsecops cloud-security cost-optimization attack-surface aws-audit sagemaker security-auditing-tool cloud-security-audit genai aws-bedrock genai-security security-auditing-tools
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
Amazon SageMaker Local Mode Examples
machine-learning tensorflow scikit-learn pytorch lightgbm pycharm dask prophet tensorflow-training gensim-word2vec catboost sagemaker amazon-sagemaker huggingface prophet-model delta-lake pytorch-training sagemaker-processing huggingface-transformers hdbscan-clustering-algorithm
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