How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
A GitHub action to build data science environment images with repo2docker and push them to registries.
GitHub Action that Fetches Kubeconfig From GKE and saves to $GITHUB_WORKSPACE/.kube/config
Template for getting started with automated ML Ops on Azure Machine Learning
GitHub Action That Retrieves Model Runs From Weights & Biases
GitHub Action That Submits Argo Workflows From GitHub
The main features of machine-learning-apps/actions-argo are: Machine Learning Ops.
Open-source alternatives to machine-learning-apps/actions-argo include: jupyterhub/repo2docker-action — A GitHub action to build data science environment images with repo2docker and push them to registries. machine-learning-apps/gke-kubeconfig — GitHub Action that Fetches Kubeconfig From GKE and saves to `$GITHUB_WORKSPACE/.kube/config`. machine-learning-apps/ml-template-azure — Template for getting started with automated ML Ops on Azure Machine Learning. machine-learning-apps/wandb-action — GitHub Action That Retrieves Model Runs From Weights & Biases. nikenano/kubeflow-github-action — Repository for makeinga a GitHub Actions for deploying to Kubeflow. yaananth/run-notebook — This github action runs a jupyter notebook, parameterizes it using papermill and lets you upload produced output as…