aws / sagemaker-tensorflow-training-toolkitLinks
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
☆271Updated last month
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
Sorting:
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆173Updated last year
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆389Updated 3 years ago
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 5 months ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆204Updated last month
- A Spark library for Amazon SageMaker.☆300Updated 4 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
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆329Updated 4 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- 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
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆181Updated 3 months ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆429Updated last year
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆516Updated last month
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 3 months ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last month
- LLMs and Machine Learning done easily☆440Updated last month
- SageMaker specific extensions to TensorFlow.☆54Updated last year
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆407Updated last year
- Amazon SageMaker Local Mode Examples☆259Updated 3 months ago
- A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker☆109Updated 5 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Build, train & debug, and deploy & monitor with Amazon SageMaker☆120Updated 2 years ago
- ☆145Updated 2 years ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 3 years ago
- Natural language processing & computer vision models optimized for AWS☆141Updated 2 years ago
- Sagemaker pipeline for AWS Summit New York☆58Updated 5 years ago
- A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.☆81Updated last year
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆143Updated last year