aws / sagemaker-tensorflow-serving-container
A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.
β172Updated last year
Alternatives and similar repositories for sagemaker-tensorflow-serving-container:
Users that are interested in sagemaker-tensorflow-serving-container are comparing it to the libraries listed below
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkβ¦β186Updated 4 years ago
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β401Updated last year
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://githβ¦β202Updated last month
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use thβ¦β133Updated 2 weeks ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:β¦β270Updated last month
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)β171Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (httpβ¦β176Updated last week
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at hβ¦β137Updated 5 months ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.β127Updated last year
- SageMaker specific extensions to TensorFlow.β54Updated 7 months ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWSβ291Updated last year
- β145Updated 2 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.cβ¦β60Updated last month
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.β55Updated 2 years ago
- Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.β506Updated last month
- The open source version of the Amazon SageMaker docsβ251Updated last year
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at httpsβ¦β28Updated last year
- Amazon SageMaker Local Mode Examplesβ253Updated last month
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model proβ¦β151Updated 3 months ago
- A Spark library for Amazon SageMaker.β299Updated 2 weeks ago
- This sample show you how to train BERT on Amazon Sagemaker using Spot instancesβ31Updated last year
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to eventsβ142Updated last year
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensorsβ161Updated 10 months ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.β44Updated 3 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.β104Updated 2 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMakerβ149Updated this week
- Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on Sβ¦β165Updated 5 years ago
- Distributed training with SageMaker's script mode using Horovod distributed deep learning frameworkβ32Updated 5 years ago
- Implementations of Amazon SageMaker-compatible custom containers for training.β25Updated 4 years ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airfβ¦β136Updated 3 years ago