sagemaker
There are 763 repositories under sagemaker topic.
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
awslabs/gluonts
Probabilistic time series modeling in Python
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
aws-samples/aws-genai-llm-chatbot
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
aws/deep-learning-containers
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
run-house/runhouse
Dispatch and distribute your ML training to "serverless" clusters in Python, like PyTorch for ML infra. Iterable, debuggable, multi-cloud/on-prem, identical across research and production.
aws-samples/generative-ai-use-cases-jp
すぐに業務活用できるビジネスユースケース集付きの安全な生成AIアプリ実装
aws/studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
aws/sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
spotty-cloud/spotty
Training deep learning models on AWS and GCP instances
Kenza-AI/sagify
LLMs and Machine Learning done easily
aws/sagemaker-inference-toolkit
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
thoughtworks/mlops-platforms
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
awslabs/generative-ai-cdk-constructs
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
aws/sagemaker-spark
A Spark library for Amazon SageMaker.
aws-solutions-library-samples/fraud-detection-using-machine-learning
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
awslabs/Renate
Library for automatic retraining and continual learning
aws/sagemaker-tensorflow-training-toolkit
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
aws-samples/aws-ai-ml-workshop-kr
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
aws-samples/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
aws-samples/sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
aws-samples/foundation-model-benchmarking-tool
Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
awslabs/realtime-fraud-detection-with-gnn-on-dgl
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
aws/sagemaker-pytorch-training-toolkit
Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
jacopotagliabue/post-modern-stack
Joining the modern data stack with the modern ML stack
panacloud/bootcamp-2021
Become a Certified Unicorn Developer and Participant in the API Token Economy
lynnlangit/Hello-AWS-Data-Services
AWS Data/MLServices sample code & notes for my LinkedIn Learning courses
RubensZimbres/Repo-2018
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
awslabs/sagemaker-debugger
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
t04glovern/aws-s3-cat-images
Generating Cat images using StyleGAN
aws-samples/awesome-sagemaker
A curated list of references for Amazon SageMaker
aws-samples/aws-ml-jp
SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集
aws/amazon-sagemaker-operator-for-k8s
Amazon SageMaker operator for Kubernetes
aws-samples/sagemaker-run-notebook
Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
aws-samples/sagemaker-studio-custom-image-samples
This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio