lucidrains/alphagenome
Implementation of AlphaGenome, Deepmind's updated genomic attention model
Built on a UNet-Transformer architecture with multi-scale attention mechanisms, it produces hierarchical embeddings at 1bp, 128bp, and pairwise resolution levels for genomic sequences. Supports multi-organism training (human, mouse, etc.), modular prediction heads for chromatin tracks, 3D contacts, and splicing effects, with compatibility for loading official JAX pretrained weights and TFRecord dataset pipelines.
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Jupyter Notebook
License
MIT
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Last pushed
Mar 25, 2026
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