alphagenome
importedsoftware/alphagenome
Implementation of AlphaGenome, Deepmind's updated genomic attention model
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/lucidrains/alphagenome
- Documentation
- unknown
- Tags
- artificial-intelligence · attention-mechanisms · deep-learning · genomics · splicing · transformers
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- flash-genomics-modelartificial-intelligence · attention-mechanisms · genomics · transformers
My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other hierarchical methods)
- pygtftkgenomics · splicing
A python package and a set of shell commands to handle GTF files
- AsaruSimsplicing
10X single cell Nanopore reads simulation workflow. Complete documentation avialable at: https://GenomiqueENS.github.io/AsaruSim/
- Veronica-X-Pro-open-source-code-2.0artificial-intelligence · transformers
Advanced AI system with real quantum computing integration, sophisticated neural architectures, and production-grade infrastructure.
- biomed-multi-omicgenomics · transformers
Build foundation model for RNA or DNA data
- agi-bioartificial-intelligence · genomics
Genomic and Proteomic data exploration and pattern mining
- api.github.com/repos/lucidrains/alphagenomeretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-03-25, 100 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/30.json→ .entries["alphagenome"]
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