This repo builds an interactive view that uses the ESM2 foundation model. It generates embeddings from protein sequences and visualize them in a 2D latent space. The goal is to explore whether proteins with similar biological properties cluster together naturally and to provide insights into what protein language models learn from aa sequence data
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Updated
Jul 23, 2026 - Python