#计算机科学#Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
翻译 - 示例笔记本示例展示了如何在Amazon SageMaker中应用机器学习，深度学习和强化学习
#计算机科学#A library for training and deploying machine learning models on Amazon SageMaker
翻译 - 用于在Amazon SageMaker上训练和部署机器学习模型的库
Code and associated files for the deploying ML models within AWS SageMaker
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
翻译 - 使用Kubeflow，Amazon EKS和SageMaker进行AI和机器学习
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
A Spark library for Amazon SageMaker.
The open source version of the Amazon SageMaker docs
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Learn Amazon SageMaker
A TensorFlow Serving solution for use in SageMaker.
ACK service controller for Amazon SageMaker
Sagemaker pipeline for AWS Summit New York
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
Enterprise Scale NLP with Hugging Face & SageMaker Workshop series
Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
Use the two different methods (deepspeed and SageMaker model parallelism library) to fine tune llama model on Sagemaker. Then deploy the fine tuned llama on Sagemaker with server side batch.
Using Deep Learning for Demand Forecasting with Amazon SageMaker
Managing your machine learning lifecycle with MLflow and Amazon SageMaker
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.