awslabs Goto Github PK
Name: Amazon Web Services - Labs
Type: Organization
Bio: AWS Labs
Location: Seattle, WA
Blog: http://amazon.com/aws/
Name: Amazon Web Services - Labs
Type: Organization
Bio: AWS Labs
Location: Seattle, WA
Blog: http://amazon.com/aws/
Amazon RDS Support Tools contains utilities, sql, scripts and views which are useful in a RDS environment
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
Reference implementation on building a local image search engine that uses Amazon Rekognition image labels to create an inverted index.
Reference implementation on labeling video frames using Amazon Rekognition. The repo also contains some OpenCV based video utilities for frame extraction and labeling.
This solution creates remote monitoring for IoT device data transmission or data validity. This solution ingests real-time device data from IoT devices to assess the state of each IoT device and send you notifications if there are data transmission issues or out of range data.
Library for automatic retraining and continual learning
A library that handles iterating over results from the AWS Java SDK with minimal boilerplate
Tools for migrating packages from ROS1 to ROS2.
A Dynamic DNS system built with API Gateway, Lambda & Route 53.
Library for managing service-level fault isolation using Amazon Route 53.
The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3.
The JavaScript SDK Managed Download package can be used for custom S3 downloads. The client can configure options for the Managed Download such as chunk size and number of parts to download concurrently.
Inspect Amazon SageMaker resources. Easily.
Starter pack to build an AI for Battlesnake with Amazon Sagemaker more content on wiki:
Corporate Credit Rating Prediction with AWS SageMaker JumpStart
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
Using Deep Learning for Demand Forecasting with Amazon SageMaker
Detect Defects in Products from their Images using Amazon SageMaker
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.