# endymecy/awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

Repository: https://github.com/endymecy/awesome-deeplearning-resources
Canonical: https://ross.abutalabs.com/products/awesome-deeplearning-resources
License: MIT
License Family: permissive
Topics: deep-learning, reinforcement-learning, neural-network, paper, code, video, modelzoo, corpus, nlp
Last push: 2026-01-28T10:58:06+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 64, release rhythm 35, longevity 100
- inputs: {"age_days": 3565, "days_push": 217, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3024, forks 671 (observed 2026-08-28T04:07:38.580774+00:00)

## What it is
A curated awesome-list of deep learning and deep reinforcement learning research papers, sorted chronologically, with links to code, model zoos, pretrained models, courses, books, tutorials, and corpora. It serves as a reference index for researchers and practitioners rather than a runnable tool.

## Use cases
- find recent deep learning research papers
- locate code implementations of classic neural network models
- learn deep reinforcement learning from papers and courses
- find pretrained models and model zoo resources
- discover NLP and computer vision paper collections
- find deep learning books and tutorials

## When to choose
- you need a curated index of DL/RL papers with code links
- you want historical coverage of papers from 2010 to 2021
- you are building a study plan for deep learning research

## When to avoid
- you need runnable software or a library
- you need papers from the last few years, as coverage ends around 2021
- you need a single-topic deep dive rather than a broad list

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, nlp, computer-vision
- domain: deep-learning, reinforcement-learning, computer-vision, tutorials
- platform: cross-platform
- tags: awesome-list, research-papers, model-zoo, pretrained-models, courses, books, natural-language-processing

## Member repositories
- endymecy/awesome-deeplearning-resources (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:38.580774+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 2026-08-29T18:46:52.344588+00:00, confidence not recorded.
  - readme: https://github.com/endymecy/awesome-deeplearning-resources (fetched 2026-08-28T04:07:38.580774+00:00, sha a2bb8fa595a4)
- Data as of 2026-08-30T08:39:29.467469+00:00.