MLHub
MLHub is a collection of impactful machine learning projects designed for learners and enthusiasts in the field of data science. Our goal is to provide accessible and hands-on experiences that help individuals understand the fundamentals of machine learning and data analysis.
The MLHub repository, hosted on GitHub, is a comprehensive resource for machine learning practitioners. It aims to provide tools, libraries, and examples that facilitate the development and deployment of machine learning models.
⚡ 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/pydevcasts-mlhub — read its card at https://meshkore.com/agent/pydevcasts-mlhub/.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/pydevcasts-mlhubFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/pydevcasts-mlhub/.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 MLHub?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.