awslabs / visual-searchLinks
Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.
☆67Updated 3 years ago
Alternatives and similar repositories for visual-search
Users that are interested in visual-search are comparing it to the libraries listed below
Sorting:
- Content consists of Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens)…☆27Updated 7 years ago
- Sample data conversion pipeline for importing data into Amazon Personalize.☆19Updated 6 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
- This repository is part of a blog post that guides users through creating a visual search application using Amazon SageMaker and Amazon E…☆11Updated last year
- CloudFormation templates and scripts demonstrating how to build a promotion recommendation system using Kinesis and SageMaker.☆28Updated 7 years ago
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆63Updated 6 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
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆72Updated last year
- ☆63Updated 6 years ago
- Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of…☆233Updated last year
- 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
- Reference implementation on building a local image search engine that uses Amazon Rekognition image labels to create an inverted index.☆60Updated 5 years ago
- Notebook from the Deep Learning Twitch Series on AWS (https://twitch.tv/aws)☆38Updated 7 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 3 years ago
- The AI Powered Speech Analytics for Amazon Connect solution provides the combination of speech to text transcription, translation into pr…☆55Updated 2 years ago
- Deliver Pinpoint Campaigns Driven by Machine Learning on AWS SageMaker☆18Updated 6 years ago
- Implementations of Amazon SageMaker-compatible custom containers for training.☆25Updated 4 years ago
- An example project to deploy MXNet inference API with Docker on Amazon ECS. Uses CodePipeline and CodeBuild to build the image to deploy …☆49Updated 5 years ago
- INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks☆110Updated 6 years ago
- This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud☆46Updated last year
- A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task type☆26Updated 2 years ago
- The open source version of the Amazon SageMaker docs☆252Updated last year
- A Personalized 'Shop-by-Style' Experience via PyTorch on Amazon SageMaker and Amazon Neptune☆24Updated 4 years ago
- Use SageMaker's DeepAR algorithm to continuously develop store inventory forecasts in response to changing data.☆15Updated 2 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
- A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker☆109Updated 5 years ago
- Build worker safety app using AWS DeepLens and Amazon Rekognition.☆21Updated 4 years ago
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago