Workflow Engine for Kubernetes
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Updated
Jul 6, 2024 - Go
Workflow Engine for Kubernetes
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.
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A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Write your pipelines in C# !
Practice for Machine Learning in Production course
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.
🗑 A CLI tool that deletes old GitLab CI pipelines
High-throughput pipeline for modified mRNA annotation and long non-coding RNA annotation
Concourse is a container-based continuous thing-doer written in Go.
Open source security data pipelines.
A swiss-army collections of snippets, data related with proxies, file sharing, organization of slides, software allowed, etcetera.
Welcome to the official GitHub repository for KubeRocketCI documentation! KubeRocketCI is a cutting-edge Continuous Integration (CI) solution designed to seamlessly integrate with Kubernetes, empowering developers to streamline their CI/CD pipelines in cloud-native environments.
Extensible data integration Java framework for building XML and non-XML fragment-based applications
Turns Data and AI algorithms into production-ready web applications in no time.
Tekton library for EDP pipelines. EDP Interceptor that enriches payload from VCS with EDP entities
Pipeline is an open source python SDK for building AI/ML workflows
Add a description, image, and links to the pipelines topic page so that developers can more easily learn about it.
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