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Type: User
Blog: https://www.linkedin.com/in/christos-gkoros-06703b178/
Type: User
Blog: https://www.linkedin.com/in/christos-gkoros-06703b178/
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Docker Apache Airflow
Tools to find Elliot Wave count in financial data
Demo applications and code examples for Apache Kafka's Streams API.
kdANN+: A Rapid AkNN Classifier for Big Data (Python & Spark)
Multimodal-GPT
When Apache Pulsar meets Apache Spark
pycaret-demo-mlflow
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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.