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Name: Vassili
Type: User
Name: Vassili
Type: User
Sample Jupyter Notebooks for Amazon Augmented AI (A2I)
Sample Apache Beam pipeline that can be deployed to Kinesis Data Analytics for Java Applications. It reads taxi events from a Kinesis data stream, processes and aggregates them, and ingests the result to Amazon CloudWatch for visualization.
Amazon Kinesis Video Streams parser library is for developers to include in their applications that makes it easy to work with the output of video streams such as retrieving frame-level objects, metadata for fragments, and more.
Samples and documentation for using the Amazon Neptune graph database service
Materials for a 3-day instructor led course on applying machine learning
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.
AutoGluon: AutoML Toolkit for Deep Learning
Awesome free machine learning and AI courses with video lectures.
Universal Command Line Interface for Amazon Web Services
Utility belt to handle data on AWS.
A set of sample database and associated items to allow customers to among other things follow along with published database migration recipes.
Reference Architectures for Datalakes on AWS
Reference Architectures for Graph Databases on AWS
Reference Architectures for Relational Databases on AWS
A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.
Replication utility for AWS Glue Data Catalog
AWS Glue Libraries are additions and enhancements to Spark for ETL operations.
AWS Glue code samples
AWS Lambda function that runs the copy command into Redshift
Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S3 and GitHub events
This repository contains the code for utility developed for bookmark functionality in AWS Glue Python jobs
AWS SDK for Python
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Dask tutorial
Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.
Imputation of missing values in tables.
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
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.