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.
☆270Updated last year
Alternatives and similar repositories for sagemaker-tensorflow-training-toolkit:
Users that are interested in sagemaker-tensorflow-training-toolkit 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 Toolk…☆186Updated 4 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated last year
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated last year
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆201Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆174Updated 3 weeks ago
- The open source version of the Amazon SageMaker docs☆250Updated last year
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 3 years ago
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆394Updated last year
- Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S…☆165Updated 5 years ago
- A Spark library for Amazon SageMaker.☆299Updated 2 months ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆327Updated 3 years ago
- SageMaker specific extensions to TensorFlow.☆54Updated 5 months ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆385Updated 3 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆130Updated 3 weeks ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆161Updated 8 months ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆136Updated 3 months ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆500Updated last month
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆290Updated last year
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆422Updated 9 months ago
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- ☆145Updated last year
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆136Updated 3 years ago
- A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.☆79Updated 9 months ago
- LLMs and Machine Learning done easily☆436Updated 10 months ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆304Updated last year
- Amazon SageMaker Local Mode Examples☆251Updated 5 months ago