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4 repositories tagged with MLOps
Dagster: An Orchestration Platform for Data Assets
Dagster is a powerful open-source orchestration platform designed for the development, production, and observation of data assets. It provides a unified programming model for building and managing data pipelines, making it easier to define, test, and deploy complex data workflows. This platform supports various data engineering, analytics, and machine learning operations.
handit.ai: Your AI Teammate for Reliable Production AI
handit.ai is an open-source AI teammate designed to ensure the reliability of your AI applications in production. It automatically detects issues like hallucinations and schema breaks, generates and tests fixes, and ships them as pull requests. This tool eliminates 2 AM debugging sessions, making AI truly dependable.
Flyte: Scalable Workflow Orchestration for Data and ML
Flyte is an open-source, scalable, and flexible workflow orchestration platform that seamlessly unifies data, machine learning, and analytics stacks. It leverages Kubernetes as its underlying platform, enabling the construction of robust and reproducible production-grade pipelines.
Plexe: Build Machine Learning Models from Natural Language Prompts
Plexe is an innovative Python library that empowers developers to build machine learning models using natural language descriptions. It automates the entire model creation process, from intent to deployment, through an intelligent multi-agent architecture. This allows for rapid development and experimentation, making ML accessible and efficient.