scott-chastain's Stars
aws-samples/modern-time-series-forecasting-on-aws
aws-samples/amazon-bedrock-high-availability
gilinachum/bedrock-latency
Tools to measure latency for LLM in Amazon Bedrook
aws-solutions/generative-ai-application-builder-on-aws
Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.
aws-samples/genai-llm-application-monitoring-on-aws
jupyterlab/jupyter-ai
A generative AI extension for JupyterLab
dylan-tong-aws/snowflake-sagemaker-workshops
arunprsh/no-code-low-code
No Code Low Code Examples
tensorlayer/SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
aws-samples/amazon-personalize-samples
Notebooks and examples on how to onboard and use various features of Amazon Personalize
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
aws-solutions/content-analysis-on-aws
As of August 30, 2023, this AWS Solution is no longer available. Existing deployments will continue to run. The functionality provided by Content Analysis on AWS will be superseded with functionality in Media2Cloud on AWS and Content Localization on AWS. We encourage you to explore these solutions.
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.