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Amazon Web Services
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Stars
A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
The fundamental package for scientific computing with Python.
A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.
Start building and deploying Python packages and Docker images for MLOps tasks.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
A set of Docker images that include popular frameworks for machine learning, data science and visualization.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separate project with its own directory, and includes a basic Stre…
Repo to hold MetaPrompter Experiments with Claude v3 on Amazon Bedrock
Superfast AI decision making and intelligent processing of multi-modal data.
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
Automate the creation of soccer match highlights with the power of Generative AI and AWS. This solution leverages AWS Bedrock (Anthropic’s Claude 3 Sonnet model), AWS MediaConvert, Lambda, Step Fu…
AWS-native chatbot using Bedrock + Claude (+Nova and Mistral)
Tools and scripts for Amazon Q operations and explorations
Robust Speech Recognition via Large-Scale Weak Supervision
This Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like those available through Amazon Bedrock, to different busine…
A React app showcasing how to integrate Amazon Lookout for Equipment in a broader predictive maintenance solution.