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nucleotide-transformer

imported

software/nucleotide-transformer

Foundation Models for Genomics & Transcriptomics

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

nucleotide-transformer project image
GitHub preview card for instadeepai/nucleotide-transformer. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
CC-BY-NC-SA-4.0(cc)
Status
active
Maturity
deployed
Organization
instadeepai
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
biology · deep-learning · dna · foundation-models · genomics · transcriptomics · transformer
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.

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    A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.

  • GENEBdna · foundation-models · genomics

    GENEB: ICML 2026 benchmark for genomic foundation models across 100 tasks and 13 functional categories.

  • chromoformergenomics · transcriptomics · transformer

    The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)

  • biomed-multi-omicfoundation-models · genomics · transcriptomics

    Build foundation model for RNA or DNA data

  • BioReasondna · foundation-models

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

  • ecg-fmfoundation-models · transformer

    An electrocardiogram analysis foundation model.

sources
  1. api.github.com/repos/instadeepai/nucleotide-transformer
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-02-24, 910 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as CC-BY-NC-SA-4.0, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/13.json→ .entries["nucleotide-transformer"]

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