Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
-
Updated
May 11, 2024 - Jupyter Notebook
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A library for training and deploying machine learning models on Amazon SageMaker
Probabilistic time series modeling in Python
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere) using AWS CDK on AWS
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
A Spark library for Amazon SageMaker.
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Become a Certified Unicorn Developer and Participant in the API Token Economy
Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
Sagemaker pipeline for AWS Summit New York
LLMs and Machine Learning done easily
Add a description, image, and links to the sagemaker topic page so that developers can more easily learn about it.
To associate your repository with the sagemaker topic, visit your repo's landing page and select "manage topics."