jamiekang Goto Github PK
Name: Jiyang Kang
Type: User
Bio: Machine Learning | Cloud Computing
Location: Seoul, South KOREA
Name: Jiyang Kang
Type: User
Bio: Machine Learning | Cloud Computing
Location: Seoul, South KOREA
A series of sample code projects to be used for educational purposes during Alexa hackathons and workshops, and as a reference for tutorials and blog posts.
Notebooks and examples on how to onboard and use various features of Amazon Personalize
A Stepfunctions driven workflow to use Amazon Rekognition to scan incoming images through a set of business rules and police apply policing
Jupyter notebooks for Amazon SageMaker
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
Web interface for browsing, search and filtering recent arxiv submissions
AutoGluon: AutoML Toolkit for Deep Learning
DeepRacer workshop content
Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
Code and walkthrough labs to set up a serverless chat application for the Zombie Apocalypse Workshop
Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S3 and GitHub events
Bike Sharing (pyTorch) example for 3-layer basic DL demo.
https://blog.awskr.org
Run CARLA on an EC2 VM
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
한글 번역이 진행 중 입니다 | Dive into Deep Learning. With code, math, and discussions.
This repository hosts sample pipelines
Cheapest AWS instances for deep learning
Natural language processing & computer vision models optimized for AWS
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Tensorflow implementation of Amazon DeepAR
CFN cluster for DeepLearning AMIs.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
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.