mlflow-1.1.0

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

mlflow-1.0.0

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

mlflow-0.3.6

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

yatai-1.1.4

Yatai lets you deploy, operate and scale Machine Learning services on Kubernetes.

mlflow-0.3.5

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

metaflow-0.0.4

Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects.

label-studio-0.1.1

Data Science starts with data. Label Studio removes the pain of labeling it.

argo-workflows-0.1.1

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.

argo-cd-0.1.1

Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes.

yatai-1.1.3

Yatai lets you deploy, operate and scale Machine Learning services on Kubernetes.