sagemaker-python-sdk and studio-lab-examples
About sagemaker-python-sdk
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
This is a Python library that helps machine learning engineers and data scientists train and deploy models on Amazon SageMaker. It simplifies the process of getting your data (from S3) into a training environment and then taking the trained model to make predictions. You can use popular frameworks like PyTorch or MXNet, or bring your own custom algorithms.
About studio-lab-examples
aws/studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
This project offers a collection of example Jupyter notebooks designed to help aspiring AI/ML practitioners learn and experiment with machine learning tasks using Amazon SageMaker Studio Lab. It provides practical demonstrations for setting up your environment and building AI/ML models in areas like computer vision, natural language processing, and generative AI. The notebooks show you how to start with raw data or pre-trained models and develop solutions for real-world problems.
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