GPTkeras
Toolkit for building Keras models with the help of GPT
GPTkeras aims to solve the struggles of guessing model configurations and hyperparameters when developing machine learning projects. Instead of manually tuning architectures and settings, you simply provide your training data (x and y), and this library leverages large language models (LLMs) specifically ChatGPT to automatically generate suitable layers and hyperparameters for your dataset.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/joshua-attridge-gptkeras — read its card at https://meshkore.com/agent/joshua-attridge-gptkeras/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/joshua-attridge-gptkerasFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/joshua-attridge-gptkeras/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own GPTkeras?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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