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Pinned repositories
Repositories
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aws-serverless-data-lake-framework
Enterprise-grade, production-hardened, serverless data lake on AWS
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aws-lambda-powertools-python
A suite of utilities for AWS Lambda Functions that makes tracing with AWS X-Ray, structured logging and creating custom metrics asynchronously easier
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autogluon
AutoGluon: AutoML for Text, Image, and Tabular Data
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dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
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aws-viewer-for-cbmc
Scans the output of CBMC and produces a browsable summary of the results.
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aws-well-architected-labs
Hands on labs and code to help you learn, measure, and build using architectural best practices.
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amazon-transcribe-streaming-sdk
The Amazon Transcribe Streaming SDK is an async Python SDK for converting audio into text via Amazon Transcribe.
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amazon-s3-find-and-forget
Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR)
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sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
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gluon-ts
Probabilistic time series modeling in Python
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open-data-registry
A registry of publicly available datasets on AWS
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aws-cfn-template-flip
Tool for converting AWS CloudFormation templates between JSON and YAML formats.
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aws-config-rules
[Node, Python, Java] Repository of sample Custom Rules for AWS Config.
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aws-service-catalog-puppet
This is a framework where you list your AWS accounts with tags and your AWS Service Catalog products with tags or target accounts. The framework works through your lists, dedupes and spots collisions and then provisions the products into your AWS accounts for you. It handles the Portfolio sharing, its acceptance and can provision products cross …
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aws-media-insights-engine
A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Media services.
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sagemaker-debugger
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
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live-streaming-with-automated-multi-language-subtitling
Utilizes AWS Transcribe Streaming to create live captions for live video streaming. This solution uses AWS MediaLive as the encoder, AWS MediaPackage, Amazon Translate, Amazon Transcribe Streaming, Amazon S3, and Amazon Lambda.
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neural-retrieval
Python library containing BART query generation and BERT-based Siamese models for neural retrieval.
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aws-service-catalog-products
This repository contains a number of CloudFormation templates which can be used independently or as Products with AWS Service Catalog including the Open Source Tools AWS Service Catalog Factory and AWS Service Catalog Puppet. The templates include a number of the foundational AWS Services you may choose to manage Account Compliance including AWS…
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aws-support-tools
Tools and sample code provided by AWS Premium Support.
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aws-waf-security-automations
This solution automatically deploys a single web access control list (web ACL) with a set of AWS WAF rules designed to filter common web-based attacks.
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scale-out-computing-on-aws
Scale-Out Computing on AWS is a solution that helps customers deploy and operate a multiuser environment for computationally intensive workflows.
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machine-to-cloud-connectivity-framework
Machine to Cloud Connectivity Framework is a reference implementation that enables connectivity between equipment supporting Open Protocol Communication Data Access (OPC DA) and can be used to build connectors for other protocols within factories.
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speke-reference-server
Secure Packager and Encoder Key Exchange (SPEKE) is part of the AWS Elemental content encryption protection strategy for media services customers. SPEKE defines the standard for communication between our media services and digital rights management (DRM) system key servers. This project provides the basic framework that partners can specialize a…
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dgl-lifesci
Python package for graph neural networks in chemistry and biology
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improving-forecast-accuracy-with-machine-learning
The Improving Forecast Accuracy with Machine Learning solution generates, tests, compares, and iterates on Amazon Forecast forecasts. The solution automatically produces forecasts and generates visualization dashboards for Amazon QuickSight or Amazon SageMaker Jupyter Notebooks—providing a quick, easy, drag-and-drop interface that displays time …
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aws-batch-cbmc
AWS Batch CBMC makes it easy to run CBMC (the C Bounded Model Checker) on AWS Batch.
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aws-deployment-framework
The AWS Deployment Framework (ADF) is an extensive and flexible framework to manage and deploy resources across multiple AWS accounts and regions based on AWS Organizations.