mgaiduk Goto Github PK
Type: User
Type: User
Apache Beam is a unified programming model for Batch and Streaming data processing.
Benchmarks for comparing performance of different languages
This is a tutorial repo for using Apache Flink with Kotlin and Gradle to set up data processing. It is primarily tailored for uses by recommender systems
Sandbox for exploring Jax/Flax
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks. Double fork from Dmitrykh. For #1 adds json support, fork #2 fixes some errors
junk
Mgaiduk book
This repo explores various options of serving neural networks/xgboost models in production, as a docker image
Rust-based, lightweight framework for launching distributed MapReduce jobs in google cloud
Examples to set up ML training of recommendation models
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.