openmedical/registry
← registry

hyena-dna

imported

software/hyena-dna

Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
maintained
Maturity
deployed
Organization
HazyResearch
Country
unknown
Documentation
unknown
Tags
foundation-models · genomics · language-models
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • BioReasonfoundation-models

    BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model | NeurIPS '25

  • Brain-IDfoundation-models

    [ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

  • DeepSpotfoundation-models

    DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.

  • DeepSpot2Cellfoundation-models

    DeepSpot2Cell: Predicting virtual single-cell spatial transcriptomics from H&E images using spot-level supervision

  • ecg-fmfoundation-models

    An electrocardiogram analysis foundation model.

  • EEGMambafoundation-models

    [Neural Networks 2025] EEGMamba: An EEG Foundation Model with Mamba

sources
  1. api.github.com/repos/HazyResearch/hyena-dna
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-04-22, 799 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/4.json→ .entries["hyena-dna"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.