MLflow · Machine learning

Tracks ML experiments, versions models in the MLflow registry and covers deployment and reproducibility, with autologging for common frameworks.

Orchestra-Research/AI-Research-SKILLs

Deep expertise in ML/CV model selection, training pipelines, and inference architecture.

alirezarezvani/claude-cto-team

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

World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics.

alirezarezvani/claude-skills

Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills.

databricks/databricks-agent-skills

Implement machine learning experiment tracking using MLflow or Weights & Biases.

jeremylongshore/tons-of-skills-marketplace

Build this skill enables AI assistant to track and manage ai/ml model versions using the model-versioning-tracker plugin.

jeremylongshore/tons-of-skills-marketplace

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

revfactory/harness-100

Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration.

Kilo-Org/kilo-marketplace