# hussius/deeplearning-biology

A list of deep learning implementations in biology

Repository: https://github.com/hussius/deeplearning-biology
Canonical: https://ross.abutalabs.com/products/deeplearning-biology
License Family: other
Last push: 2026-08-03T16:05:10+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 3745, "days_push": 30, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2155, forks 489 (observed 2026-08-28T04:06:19.574782+00:00)

## What it is
A curated list of deep learning implementations applied to biology, with a focus on genomics, protein biology, single-cell analysis, and drug discovery. It aggregates papers, tools, and model repositories originally published on the Follow the Data blog.

## Use cases
- find deep learning tools for genomics
- discover protein structure prediction models
- look up single-cell deep learning methods
- find papers on deep learning in drug discovery
- explore multi-omics integration approaches
- find resources for deep learning in bioinformatics

## When to choose
- you need a curated overview of deep learning applications in biology
- you are researching state-of-the-art models for genomics or protein biology
- you want pointers to implementations across many biology subfields

## When to avoid
- you need a runnable software library rather than a reference list
- you need a maintained tool with support rather than links to papers and repos
- your domain is outside biology or genomics

## Facets
- artifact type: learning-resource
- maturity: active
- function: deep-learning, machine-learning, documentation
- domain: bioinformatics, deep-learning, machine-learning, awesome-lists
- platform: cross-platform
- tags: awesome-list, biology, genomics, curated-list, papers, research

## Member repositories
- hussius/deeplearning-biology (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:19.574782+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:50:36.721810+00:00, confidence not recorded.
  - readme: https://github.com/hussius/deeplearning-biology (fetched 2026-08-28T04:06:19.574782+00:00, sha 11ae59d43ab0)
- Data as of 2026-08-30T08:39:29.467469+00:00.