tkazusa Goto Github PK
Name: Kazusa
Type: User
Location: Tokyo
Name: Kazusa
Type: User
Location: Tokyo
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Japanese translation of Amazon SageMaker Examples and other original sample codes, which will be used in Amazon SageMaker hands-on workshops in Japan.
The Auto Check-In App automatically provisions the products and services necessary to configure facial comparison and search for event check-in.
Utility belt to handle data on AWS.
Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S3 and GitHub events
Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS
拙著「問題解決力を鍛える!アルゴリズムとデータ構造」の補足資料。ソースコードと、章末問題への略解を掲載。
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.