aws / sagemaker-pytorch-training-toolkitLinks
Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
☆204Updated 2 months ago
Alternatives and similar repositories for sagemaker-pytorch-training-toolkit
Users that are interested in sagemaker-pytorch-training-toolkit are comparing it to the libraries listed below
Sorting:
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆141Updated 10 months ago
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 2 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last week
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆407Updated last year
- SageMaker specific extensions to TensorFlow.☆54Updated last year
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 6 months ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆517Updated 2 weeks ago
- Natural language processing & computer vision models optimized for AWS☆142Updated 2 years ago
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆181Updated last week
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆162Updated last year
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆330Updated 4 years ago
- ☆145Updated 2 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆153Updated 2 months ago
- Amazon SageMaker Local Mode Examples☆259Updated 3 months ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- LLMs and Machine Learning done easily☆439Updated 3 weeks ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated 2 months ago
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆250Updated last month
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆99Updated 4 years ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆430Updated last year
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 5 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 4 months ago