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 PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated last month
- SageMaker specific extensions to TensorFlow.☆54Updated 11 months ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆161Updated last year
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆173Updated last year
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 5 months 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
- 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
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated last month
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 5 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
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- A high performance data access library for machine learning tasks☆74Updated last year
- ☆118Updated last year
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated 11 months ago
- INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks☆110Updated 7 years ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆141Updated 9 months ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆99Updated 4 years ago
- A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.☆81Updated last year
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆72Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆138Updated 3 weeks ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆142Updated 8 months 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…☆74Updated last year
- ☆19Updated 6 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.☆67Updated 3 years ago
- Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS☆167Updated 5 years ago
- Distributed training workshop☆18Updated 5 years ago
- ☆53Updated last year
- Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker☆46Updated last year