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MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
A Tiny Intent Classifier model for short customer-support style text. Given an input text (e.g., "Hi, I need help with my bill"), the model returns one of: `greeting` - `question` - `complaint` - `praise` - `other`.
Build and ship production ML pipelines faster: a pipeline library with an optional self-hosted visual layer for modular, reproducible workflows, local testing, and experiment tracking.
End-to-end MLOps architecture built for polyp segmentation — featuring distributed Ray training, MLflow experiment tracking, and automated CI/CD with Kubeflow Pipelines and KServe (Triton) deployment on Google Kubernetes Engine.
ARF is an agentic reliability intelligence platform that separates decision intelligence (OSS) from governed execution (Enterprise), enabling autonomous operations with deterministic safety guarantees.
A Recommendation Engine API that can be used to recommend movies, music, games, manga, anime, comics, tv shows and books. Deployed using an AWS EC2 instance.
Zokyo is a MLOps friendly image augmentation library written in python built with modularity and extensibility in mind. Specifically crafted for automotive deep learning development.