Grow your team on GitHub
GitHub is home to over 50 million developers working together. Join them to grow your own development teams, manage permissions, and collaborate on projects.
Sign up
Pinned repositories
Repositories
-
aws-well-architected-labs
Hands on labs and code to help you learn, measure, and build using architectural best practices.
-
aws-mobile-appsync-sdk-android
Android SDK for AWS AppSync.
-
amazon-eks-ami
Packer configuration for building a custom EKS AMI
-
djl
An Engine-Agnostic Deep Learning Framework in Java
-
aws-media-services-application-mapper
Media Services Application Mapper is a browser-based tool that allows operators to visualize the structure and logical connections among AWS Media Services and supporting services in the cloud. The tool can be used as a top-down resource monitoring tool when integrated with CloudWatch.
-
amazon-ecr-containerd-resolver
The Amazon ECR containerd resolver is an implementation of a containerd Resolver and Fetcher that can pull images from and push images to Amazon ECR using the Amazon ECR API instead of the Docker Registry API.
-
amazon-kinesis-video-streams-webrtc-sdk-c
Amazon Kinesis Video Streams Webrtc SDK is for developers to install and customize realtime communication between devices and enable secure streaming of video, audio to Kinesis Video Streams.
-
aws-crt-python
Python bindings for the AWS Common Runtime
-
open-data-registry
A registry of publicly available datasets on AWS
-
aws-api-gateway-developer-portal
A Serverless Developer Portal for easily publishing and cataloging APIs
-
aws-c-auth
C99 library implementation of AWS client-side authentication: standard credentials providers and signing.
-
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
-
aws-embedded-metrics-node
Amazon CloudWatch Embedded Metric Format Client Library
-
document-understanding-solution
Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical to automate the processing of documents for use cases such as search and discovery, control and compliance, and general business process workflow.
-
aws-c-http
C99 implementation of the HTTP/1.1 and HTTP/2 specifications
-
-
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.
-
-
aws-c-mqtt
C99 implementation of the MQTT 3.1.1 specification.
-
aws-c-io
This is a module for the AWS SDK for C. It handles all IO and TLS work for application protocols.
-
aws-crt-java
Java bindings for the AWS Common Runtime
-
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.
-
aws-crt-nodejs
NodeJS bindings for the AWS Common Runtime.
-
autogluon
AutoGluon: AutoML Toolkit for Deep Learning
-
amazon-log-agent-benchmark-tool
Simple log generation and process resource monitor used to benchmark log agents
-
aws-crt-cpp
C++ wrapper around the aws-c-* libraries. Provides Cross-Platform Transport Protocols and SSL/TLS implementations for C++.
-
ml-io
A high performance data access library for machine learning tasks