Turns Data and AI algorithms into production-ready web applications in no time.
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Updated
May 17, 2024 - Python
Turns Data and AI algorithms into production-ready web applications in no time.
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Lightweight function pipeline (DAG) creation: 📚 Less Bookkeeping, 🎯 More Doing
🗑 A CLI tool that deletes old GitLab CI pipelines
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
Typescript client for working with Chalk
A framework to manage data, continuously
benzlokzik's profile readme
Workflow Engine for Kubernetes
josh-ops.com | a devops blog
Azure Pipelines templates that provide an end-to-end DevOps framework for Power Apps.
This is a collection of all the machine learning techniques required in any machine learning project. It contains detailed descriptions, videos, book recommendations, and additional material to properly grasp all the concepts. It also contains implementations in various frameworks.
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Config files used to define parameters specific to compute environments at different Institutions
Azure DevOps Extension for Azure CLI
Add a description, image, and links to the pipelines topic page so that developers can more easily learn about it.
To associate your repository with the pipelines topic, visit your repo's landing page and select "manage topics."