# neurreps/awesome-neural-geometry

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

Repository: https://github.com/neurreps/awesome-neural-geometry
Canonical: https://ross.abutalabs.com/products/awesome-neural-geometry
Homepage: https://neurreps.org
License Family: other
Topics: deep-learning, differential-geometry, group-theory, neural-computation, neural-networks, neuroscience, papers, awesome-list, topology, symmetry, equivariance
Last push: 2026-02-24T00:53:09+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 69, release rhythm 35, longevity 100
- inputs: {"age_days": 1495, "days_push": 191, "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 1080, forks 75 (observed 2026-08-28T04:03:30.630818+00:00)

## What it is
A community-maintained awesome list curating papers, textbooks, courses, datasets, software libraries, and conferences on the geometry and topology of representations in brains and deep neural networks. It grew out of the NeurReps (Symmetry and Geometry in Neural Representations) workshop community and spans group theory, differential geometry, information geometry, dynamics, topology, and geometric machine learning.

## Use cases
- find a reading list on the geometry of neural representations
- learn the math prerequisites for geometric deep learning like group theory and differential geometry
- locate papers on equivariance and symmetry in neural networks
- find datasets and software libraries for analyzing neural representations
- study connections between neuroscience and deep learning representations
- get up to speed on topology and information geometry for machine learning research
- track conferences and workshops on neural representation geometry

## When to choose
- you want a curated, community-vetted entry point into geometric deep learning and neural computation research
- you need one place linking textbooks, courses, papers, datasets, and libraries on representation geometry
- you are a researcher or student bridging neuroscience, mathematics, and deep learning

## When to avoid
- you need runnable, maintained software rather than links to external resources
- you want an exhaustive or automatically updated index instead of a hand-curated work-in-progress
- you are looking for introductory deep learning material without a geometry or symmetry focus

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: deep-learning, machine-learning, artificial-intelligence, mathematics, education, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, curated-resources, reading-list, geometric-deep-learning, neural-representations, equivariance, differential-geometry, group-theory, topology, symmetry, neuroscience, papers, datasets, community-maintained

## Member repositories
- neurreps/awesome-neural-geometry (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:30.630818+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 2026-08-30T06:52:59.952055+00:00, confidence not recorded.
  - readme: https://github.com/neurreps/awesome-neural-geometry (fetched 2026-08-28T04:03:30.630818+00:00, sha 62637eb5e198)
  - homepage: https://neurreps.org (fetched 2026-08-29T12:54:09.103279+00:00, sha 4bb6d4b61b20)
- Data as of 2026-08-30T08:39:29.467469+00:00.