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Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

MTEB: Massive Text Embedding Benchmark

Data for the MTEB leaderboard

Make websites accessible for AI agents

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

This is a workshop designed for Amazon Bedrock a foundational model service.

🤗 Testing local changes to Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Use context-free grammars with an LLM

Exact structure out of any language model completion.

SageMaker custom deployments made easy

⭐ Use repo badges (build passing, coverage, etc) in your readme/markdown file to signal code quality in a project.

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

A Python framework for high performance GPU simulation and graphics

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Simple library to make working with STL files (and 3D objects in general) fast and easy.

A minimalist environment for decision-making in autonomous driving