Convention based approach to MVC Model Validation and Model Metadata
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Updated
Sep 15, 2017 - C#
Convention based approach to MVC Model Validation and Model Metadata
Local dashboard for NVIDIA build.nvidia.com models with sortable metadata, model-card specs, live probes, and tool-calling detection.
Fetches and organizes Ollama cloud model information into clean tables showing sizes, capabilities, and direct links to models.
🤖 Production-ready Python registry for OpenAI models with parameter validation, pricing data, and CLI tools. Supports GPT-5, Azure OpenAI, automated updates, and enterprise deployment.
Unified model card schema for NANDA-compatible agent registries — covers LoRA adapters, edge ONNX, federated, and heuristic models with built-in validation and lifecycle tracking
Tools to inspect and maintain ollama models.
Offline LiteLLM pricing and model metadata diff CLI for AI gateway cost reviews
Editable model metadata, pricing table, and budget routing notes for OpenAI-compatible gateways
As ML models grow in complexity, structured, machine-readable metadata is crucial for reuse. We propose MRM3, a novel approach for storing ML model metadata integrated into a Neo4j knowledge graph.
Add a description, image, and links to the model-metadata topic page so that developers can more easily learn about it.
To associate your repository with the model-metadata topic, visit your repo's landing page and select "manage topics."