aws-samples Goto Github PK
Name: AWS Samples
Type: Organization
Blog: https://amazon.com/aws
Name: AWS Samples
Type: Organization
Blog: https://amazon.com/aws
For more serverless learning resources, visit https://serverlessland.com/.
S3 Resumable Migration Version 2 ( S3 断点续传迁移 Version 2)
Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.
AWS Last Mile Route Sequence Optimization
Materials for a 2-day instructor led course on applying machine learning
An AWS workshop to teach concepts about machine learning and cloud architecture within health care and life sciences
This repository describes how to build an automatic speech recognition (ASR) model using SageMaker and DeepSpeech Library.
Demostración de Amazon SageMaker Autopilot realizando una clasificación multiclase.
This repository contains sample code to generate SHAP plots out of the SageMaker autopilot.
End to end code samples for training an object detection model in Amazon SageMaker using the built-in SSD algorithm and running it on AWS IoT Greengrass.
Deploy a functional, end-to-end example of training a machine learning model from IoT data
This sample show you how to train BERT on Amazon Sagemaker using Spot instances
A Jupyter notebook w/ script demonstrating how to train an Apache MXNet model for Brain Segmentation on SageMaker using the OASIS dataset
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.