aws-samples / deep-learning-modelsLinks
Natural language processing & computer vision models optimized for AWS
☆142Updated 3 years ago
Alternatives and similar repositories for deep-learning-models
Users that are interested in deep-learning-models are comparing it to the libraries listed below
Sorting:
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated 4 months ago
- SageMaker specific extensions to TensorFlow.☆54Updated last year
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 7 months ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆187Updated 5 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆163Updated last year
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 11 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated 2 years ago
- Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. …☆56Updated 3 years ago
- The open source version of the Amazon SageMaker docs☆252Updated 2 years ago
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 6 years ago
- This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud☆45Updated 2 years ago
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆29Updated 2 years ago
- Deep Learning demos with different frameworks (2016-2020)☆111Updated 5 months ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- ☆118Updated 2 years ago
- A high performance data access library for machine learning tasks☆74Updated 2 years ago
- Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow☆252Updated 5 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆58Updated 3 years ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆98Updated 4 years ago
- A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.☆82Updated last year
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆74Updated last year
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 2 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated 2 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆144Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.☆67Updated 4 years ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆142Updated 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
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆143Updated this week