# ChristosChristofidis/awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

Repository: https://github.com/ChristosChristofidis/awesome-deep-learning
Canonical: https://ross.abutalabs.com/products/awesome-deep-learning
License Family: other
Topics: deep-learning, neural-network, machine-learning, awesome, awesome-list, recurrent-networks, deep-networks, deep-learning-tutorial, face-images
Last push: 2025-05-26T12:28:00+00:00

## Health v2 (maintenance only)
Score: 43/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 23, release rhythm 35, longevity 100
- inputs: {"age_days": 4261, "days_push": 464, "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 28811, forks 6354 (observed 2026-08-28T04:11:52.828188+00:00)

## What it is
A curated awesome-list of deep learning resources including books, courses, videos, papers, tutorials, datasets, frameworks, and communities. It serves as a reference index rather than software.

## Use cases
- find deep learning tutorials and courses
- discover neural network books and papers
- locate datasets for deep learning projects
- learn recurrent networks and deep learning basics
- find deep learning frameworks and tools
- explore deep learning communities and researchers

## When to choose
- you want a broad curated index of deep learning learning materials
- you are starting out and need books, courses, and tutorials in one place
- you need pointers to datasets and frameworks for deep learning

## When to avoid
- you need runnable software or a library rather than a link list
- you need up-to-date cutting-edge research beyond curated links
- you need structured, machine-readable data

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: deep-learning, machine-learning, tutorials, awesome-lists, artificial-intelligence
- platform: cross-platform
- tags: awesome-list, curated-resources, neural-networks, tutorials, courses, papers, datasets

## Member repositories
- ChristosChristofidis/awesome-deep-learning (main) score 43

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:52.828188+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 2026-08-29T16:54:19.326620+00:00, confidence not recorded.
  - readme: https://github.com/ChristosChristofidis/awesome-deep-learning (fetched 2026-08-28T04:11:52.828188+00:00, sha ec6952ffb537)
- Data as of 2026-08-30T08:39:29.467469+00:00.