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A newer version of the Gradio SDK is available:
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metadata
title: Equivariant Chem Scout
emoji: π
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 6.0.1
app_file: app.py
pinned: false
license: mit
hf_oauth: true
tags:
- mcp-in-action-track-creative
Equivariant_Chem_Scout
An MCP server that teaches you how to build and train E(3)-equivariant Graph Neural Networks using the real MACE architecture.
Features
- Initialize real MACE models with custom hyperparameters
- Train on molecular data with live Trackio logging
- Test equivariance properties interactively