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
Benchmarking the trade-offs between cost, train time, and performance for fine-tuning HuggingFace models with distributed training on Amazon SageMaker.
Using Amazon SageMaker Automatic Model Tuning to optimize portfolio value
Deployment code for image generative AI and other related image based tasks.
Sample code to run Amazon SageMaker endpoint for inference with a ready model from Tensorflow Hub
A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker
Amazon SageMaker Local Mode Examples
Build and deploy a Transformer based NLP model using the open source Ludwig AutoML deep learning framework with TensorFlow and Amazon SageMaker.
Amazon SageMaker Managed Spot Training Examples
Managing your machine learning lifecycle with MLflow and Amazon SageMaker
Sample solution to build a deployment pipeline for Amazon SageMaker.
MLOps workshop with Amazon SageMaker
This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.
A simple event-based architecture and automation to synchronize SageMaker Training Jobs to ModelDB with the ModelDB Light API.
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.