aws / sagemaker-mxnet-inference-toolkitLinks
Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.
☆28Updated 2 years ago
Alternatives and similar repositories for sagemaker-mxnet-inference-toolkit
Users that are interested in sagemaker-mxnet-inference-toolkit are comparing it to the libraries listed below
Sorting:
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 10 months ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated 3 months ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆142Updated last year
- SageMaker specific extensions to TensorFlow.☆54Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆187Updated 5 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated 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…☆143Updated 2 weeks ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 6 months ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆58Updated 3 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated 2 years ago
- A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.☆82Updated last year
- ☆73Updated last year
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated 2 years ago
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 6 years ago
- The open source version of the Amazon SageMaker docs☆252Updated 2 years ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆270Updated 6 months ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆162Updated last year
- Natural language processing & computer vision models optimized for AWS☆142Updated 2 years ago
- Create, List, Update, Delete Amazon EKS clusters. Deploy and manage software on EKS. Run distributed model training and inference example…☆63Updated 3 weeks ago
- A Jupyter server extension to proxy requests with AWS SigV4 authentication☆22Updated 2 years ago
- ☆89Updated 3 years ago
- Example code for AWS Neuron SDK developers building inference and training applications☆152Updated this week
- This repository is part of a blog post that guides users through creating a visual search application using Amazon SageMaker and Amazon E…☆11Updated 2 years ago
- Some crazy experiments☆35Updated 3 months ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆182Updated 2 months ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆98Updated 4 years ago
- A library of additional estimators and SageMaker tools based on scikit-learn☆40Updated last year
- A high performance data access library for machine learning tasks☆74Updated 2 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- ☆30Updated 9 months ago