Cloud-Pipelines / pipeline-editor
Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.
☆56Updated 2 years ago
Alternatives and similar repositories for pipeline-editor:
Users that are interested in pipeline-editor are comparing it to the libraries listed below
- Components that I have created for Kubeflow Pipelines. Try them in https://cloud-pipelines.net/pipeline-editor/☆14Updated 2 years ago
- Awesome Orchest projects, both official and submitted by the community.☆25Updated last year
- mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…☆25Updated 3 years ago
- JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment☆18Updated 4 years ago
- ☆27Updated last year
- Projects developed by Domino's R&D team☆76Updated 2 years ago
- real-time data + ML pipeline☆54Updated this week
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated 11 months ago
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆78Updated 6 months ago
- Listens MLFlow model registry changes and deploy models based on configurations☆21Updated last year
- A repository of examples for Elyra (https://github.com/elyra-ai/elyra)☆80Updated 3 months ago
- MLflow-tracking server example with Minio and H2O☆18Updated 5 years ago
- Generate beautiful, testable documentation with Jupyter Notebooks☆21Updated 2 years ago
- Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo☆135Updated 2 years ago
- 📚 Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projec…☆35Updated last year
- This repository is no longer maintained.☆25Updated 3 years ago
- Tools and utilities for operating Metaflow in production☆53Updated 3 weeks ago
- ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.☆45Updated 3 weeks ago
- End to End example integrating MLFlow and Seldon Core☆51Updated 4 years ago
- Open Source Model Risk Management☆23Updated 2 years ago
- ElasticSearch implementation of MlFlow tracking store☆18Updated 4 years ago
- This repository contains example integrations between Determined and other ML products☆48Updated 11 months ago
- 🔨 Universal build utilities for containerized build pipelines.☆25Updated 2 years ago
- Nuclio Function Automation for Python and Jupyter☆88Updated 4 months ago
- ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.☆73Updated last year
- Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documen…☆18Updated last year
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 4 years ago
- Kubeflow’s superfood for Data Scientists☆632Updated 2 years ago
- MLOps simplified. One platform, all the functionality you need. Swiss made☆98Updated last week
- ☆23Updated last month