示例 Jupyter 笔记本,演示如何使用 Amazon SageMaker 构建、训练和部署机器学习模型。
sagemaker 开源项目推荐(1,133 个)
sagemaker 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 1,133 个仓库Probabilistic time series modeling in Python
A library for training and deploying machine learning models on Amazon SageMaker
提供SON文件模板,演示如何使用自定义镜头创建自定义的良好架构评论。
包含业务用例的应用实现,用于在业务运营中安全利用生成式 AI
一款模块化、全面的解决方案,可在AWS上使用AWS CDK部署Multi-LLM和Multi-RAG支持的聊天机器人(Amazon Bedrock、Anthropic、HuggingFace、OpenAI、Meta、AI 21、Cohere、Mistral)
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Training deep learning models on AWS and GCP instances
LLMs and Machine Learning done easily
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
A Spark library for Amazon SageMaker.
Library for automatic retraining and continual learning
One-command AWS audit: find cost waste, detect security gaps, audit GenAI (Bedrock/SageMaker), and map your attack surface across 30+ services.
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
亚马逊SageMaker本地模式示例
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/sagemaker。
- 该话题在 GitHub 上共有 1,133 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2.9 万 Star,覆盖 4 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。