aws / sagemaker-pytorch-inference-toolkit
Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
☆134Updated last month
Related projects ⓘ
Alternatives and complementary repositories for sagemaker-pytorch-inference-toolkit
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆199Updated last year
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆391Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆125Updated last month
- Example code for AWS Neuron SDK developers building inference and training applications☆127Updated last month
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆171Updated 2 weeks ago
- Implementations of Amazon SageMaker-compatible custom containers for training.☆25Updated 3 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated last year
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆223Updated 2 months ago
- Amazon SageMaker Local Mode Examples☆248Updated 3 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- ☆217Updated 3 months ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆496Updated 2 months ago
- ☆13Updated 11 months ago
- ☆143Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆185Updated 4 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆148Updated 5 months ago
- SageMaker specific extensions to TensorFlow.☆54Updated 3 months ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆146Updated 2 months ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆296Updated last year
- ☆240Updated last month
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆142Updated last year
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆121Updated this week
- ☆82Updated 6 months ago
- ☆128Updated 6 months ago
- ☆100Updated 2 months ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆94Updated 3 years ago
- The open source version of the Amazon SageMaker docs☆250Updated last year