kubeflow-kale / jupyterlab-kubeflow-kaleLinks
JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment
☆18Updated 5 years ago
Alternatives and similar repositories for jupyterlab-kubeflow-kale
Users that are interested in jupyterlab-kubeflow-kale are comparing it to the libraries listed below
Sorting:
- Test infrastructure and tooling for Kubeflow.☆62Updated 11 months ago
- MLFlow Deployment Plugin for Ray Serve☆46Updated 3 years ago
- Argoflow has been superseded by deployKF☆135Updated 2 years ago
- Fybrik platform - Arrow/Flight module☆15Updated last year
- kfctl is a CLI for deploying and managing Kubeflow☆183Updated 2 years ago
- ☆37Updated 6 years ago
- Kubeflow Pipelines on Tekton☆182Updated last year
- Nuclio Function Automation for Python and Jupyter☆91Updated last week
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆94Updated last year
- A store of Helm chart tarballs for deploying JupyterHub and BinderHub on a Kubernetes cluster☆214Updated last week
- Incubating project for xgboost operator☆77Updated 4 years ago
- Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo☆134Updated 3 years ago
- Information about the Kubeflow community including proposals and governance information.☆183Updated 3 weeks ago
- Fybrik☆132Updated 4 months ago
- Repository for open inference protocol specification☆63Updated 8 months ago
- ☆73Updated 5 years ago
- ☆24Updated 2 years ago
- Secure HDFS Access from Kubernetes☆61Updated 5 years ago
- Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing …☆142Updated last year
- Python SDK for building, training, and deploying ML models☆337Updated 3 years ago
- ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.☆73Updated last year
- Repository for assets related to Metadata.☆123Updated 4 years ago
- Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.☆50Updated 3 years ago
- This repository is no longer maintained.☆25Updated 3 years ago
- Slides, videos, and supporting files for my public talks☆35Updated 2 weeks ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 3 years ago
- Kustomize manifest to deploy kubeflow pipelines in AWS☆21Updated 4 years ago
- A top-like tool for monitoring GPUs in a cluster☆84Updated last year
- Kernel for Kubeflow in Jupyter Notebook☆65Updated 6 years ago
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆172Updated 4 years ago