There are 34 repositories under pipelines topic.
Workflow Engine for Kubernetes
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Event-driven Automation Framework for Kubernetes
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
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.
Framework for large distributed pipelines
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
Azure AKS Kubernetes Masterclass
Azure DevOps Extension for Azure CLI
pypyr task-runner cli & api for automation pipelines. Automate anything by combining commands, different scripts in different languages & applications into one pipeline process.
A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
🦊 Test your Gitlab CI Pipelines changes locally using Docker.
A web-based monitor dashboard for GitLab CI
Un repositorio más con conceptos básicos, desafíos técnicos y recursos sobre ingeniería de datos en español 🧙✨
Extensible data integration Java framework for building XML and non-XML fragment-based applications
Train and run Pytorch models on Apache Spark.
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.
Use C# instead of YAML to define your Azure DevOps pipelines