DevOps & Cloud · Weights & Biases

Guides an agent through tracking ML experiments with W&B: run logging, config capture, hyperparameter sweeps, artifacts and a model registry.

Orchestra-Research/AI-Research-SKILLs

Designs ML pipeline infrastructure: experiment tracking with MLflow or Weights & Biases, Kubeflow and Airflow orchestration, Feast feature stores and model validation gates.

Jeffallan/claude-skills

Azure Weights & Biases SDK for .NET. An agent skill from microsoft/skills.

microsoft/skills

Build, test, and debug Hermes Agent RL environments for Atropos training.

Tommy-yw/RunbookHermes

Verify or complete a new internal Marin developer's local setup and access to GitHub, GCP, Iris, Weights & Biases, Hugging Face, and optional CoreWeave storage.

marin-community/marin

Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner.

NVIDIA/skills

Strategic guidance for operationalizing machine learning models from experimentation to production.

ancoleman/ai-design-components

Guide for experiment tracking tool setup (MLflow, Weights & Biases, etc.), reproducibility assurance, model registry, and experiment comparison methodology.

revfactory/harness-100