aws-samples / deep-learning-modelsLinks
Natural language processing & computer vision models optimized for AWS
☆141Updated 2 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 MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 4 months ago
- SageMaker specific extensions to TensorFlow.☆54Updated 11 months ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated 2 weeks ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆162Updated last year
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 5 years ago
- Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. …☆56Updated 2 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆173Updated last year
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 2 weeks ago
- A high performance data access library for machine learning tasks☆74Updated last year
- This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud☆46Updated 2 years ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- Re:Invent Inf1 Instance Lab☆22Updated 5 years ago
- Distributed training workshop☆18Updated 5 years ago
- ☆118Updated last year
- Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow☆254Updated 5 years ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆141Updated 8 months ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Reference Lambda function that predicts image labels for a image using an MXNet-built deep learning model. The repo also has pre-built MX…☆133Updated 2 years ago
- ☆35Updated 5 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- ☆20Updated 2 years ago
- A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task type☆26Updated 2 years ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆99Updated 4 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆72Updated last year
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated 10 months ago
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆141Updated 7 months ago
- This sample show you how to train BERT on Amazon Sagemaker using Spot instances☆31Updated last year
- [DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support☆289Updated 2 years ago