Awesome Argo
Section: Ecosystem Projects · is a Kubernetes-native project for automated machine learning (AutoML).
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Appears in 5 awesome lists
Kubernetes-native AutoML for hyperparameter tuning, early stopping, and neural architecture search. Framework-agnostic with support for TensorFlow, PyTorch, XGBoost, and custom training operators. Apache 2.0 licensed.
Section: Ecosystem Projects · is a Kubernetes-native project for automated machine learning (AutoML).
Section: AutoML · Katib is a Kubernetes-native project for automated machine learning (AutoML).
Section: Hyperparameter Tuning · Kubernetes-based system for hyperparameter tuning and neural architecture search.
Section: 1. Core Frameworks & Libraries · Kubernetes-native AutoML for hyperparameter tuning, early stopping, and neural architecture search. Framework-agnostic with support for TensorFlow, PyTorch, XGBoost, and custom training operators. Apache 2.0 licensed.
Section: AutoML · A Kubernetes-based system for Hyperparameter Tuning and Neural Architecture Search.
Multi-cluster Kubernetes MCP server bridging Gemini CLI to kubeconfig and Kubernetes APIs. Manage clusters, policies, and 20+ CNCF project integrations across edge and cloud. Install via brew tap kubestellar/tap && brew install kc-agent.
Unified interface for constructing and managing machine learning workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models on Kubernetes.
Netflix's ML platform for building and managing real-world AI systems. Powers thousands of projects at Netflix, Amazon, and DoorDash. Apache 2.0 licensed.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Deep learning training platform with integrated support for distributed training, hyperparameter tuning, smart GPU scheduling, experiment tracking, and a model registry.