aws-samples / aws-ml-vision-end2endLinks
Content consists of Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens) for common CV use-cases
☆27Updated 7 years ago
Alternatives and similar repositories for aws-ml-vision-end2end
Users that are interested in aws-ml-vision-end2end are comparing it to the libraries listed below
Sorting:
- Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.☆67Updated 3 years ago
- A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task type☆26Updated 2 years ago
- Reference implementation on labeling video frames using Amazon Rekognition. The repo also contains some OpenCV based video utilities for …☆39Updated 6 years ago
- Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX☆47Updated 7 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 3 months ago
- ☆63Updated 6 years ago
- INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks☆110Updated 6 years ago
- CloudFormation templates and scripts demonstrating how to build a promotion recommendation system using Kinesis and SageMaker.☆28Updated 7 years ago
- Notebook from the Deep Learning Twitch Series on AWS (https://twitch.tv/aws)☆38Updated 7 years ago
- 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
- This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud☆46Updated 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
- Natural language processing & computer vision models optimized for AWS☆141Updated 2 years ago
- This tutorial walks you through how to implement a sentiment analysis model to classify movie reviews as either 'Positive' or 'Negative' …☆23Updated 6 years ago
- ☆118Updated last year
- ☆23Updated 2 years ago
- The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format☆38Updated 6 years ago
- Amazon Bin Image Dataset Challenge☆54Updated 7 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 tutorial on how to build, train, and deploy advanced CNN architectures U-Net and ENet for per-pixel binary segmentation on SageMaker.☆19Updated 7 years ago
- Reference implementation on building a local image search engine that uses Amazon Rekognition image labels to create an inverted index.☆60Updated 5 years ago
- Slides from MXNet tutorials☆52Updated 7 years ago
- Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow☆254Updated 5 years ago
- Re:Invent Inf1 Instance Lab☆22Updated 5 years ago
- Sample data conversion pipeline for importing data into Amazon Personalize.☆19Updated 6 years ago
- ☆34Updated 8 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated 3 months ago
- Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time☆34Updated 2 years ago
- The open source version of the Amazon Transcribe docs. You can submit feedback & requests for changes by submitting issues in this repo o…☆25Updated last year
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 5 years ago