aws-samples / deep-learning-models
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
- SageMaker specific extensions to TensorFlow.☆54Updated 9 months ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated 2 months ago
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 5 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 2 months ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆161Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 4 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
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆173Updated last year
- 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 high performance data access library for machine learning tasks☆74Updated last year
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 2 months ago
- Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.☆493Updated last year
- This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud☆46Updated last year
- Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.☆65Updated 3 years ago
- ☆35Updated 5 years ago
- The open source version of the Amazon SageMaker docs☆251Updated last year
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆138Updated 6 months ago
- Distributed training workshop☆18Updated 5 years ago
- ☆20Updated 2 years ago
- ☆118Updated last year
- INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks☆110Updated 6 years ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆89Updated 2 years ago
- Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow☆254Updated 5 years ago
- A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task type☆26Updated 2 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Implementations of Amazon SageMaker-compatible custom containers for training.☆25Updated 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
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆71Updated 10 months ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆98Updated 4 years ago