Deep_learning_examples
importedsoftware/deep-learning-examples
Examples of using deep learning in Bioinformatics
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/liyu95/Deep_learning_examples
- Documentation
- unknown
- Tags
- bioinformatics · deep-learning
- 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.
- adambioinformatics
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
- aestetikbioinformatics
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- aiolibioinformatics
Framework for building fast genomics web tools with WebAssembly and WebWorkers
- albatradisbioinformatics
Comparative TraDIS analysis
- ALLCoolsbioinformatics
Toolkit for single-cell DNA methylation analysis.
- alphadiabioinformatics
modular & open DIA search
- api.github.com/repos/liyu95/Deep_learning_examplesretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-03-23, 452 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/4.json→ .entries["deep-learning-examples"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.