# knightnemo/Awesome-World-Models

A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.

Repository: https://github.com/knightnemo/Awesome-World-Models
Canonical: https://ross.abutalabs.com/products/awesome-world-models
License: BSD-3-Clause
License Family: permissive
Topics: awesome-list, dynamical-systems, embodied-ai, generative-model, world-models
Last push: 2026-08-25T20:15:17+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 21
- inputs: {"age_days": 306, "days_push": 8, "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 3349, forks 154 (observed 2026-08-28T04:07:57.671853+00:00)

## What it is
A curated awesome-list of research papers and resources on world models, covering embodied AI, autonomous driving, NLP, agents, game simulation, and science. It serves as a one-stop reference hub with links to arXiv papers, project websites, and code repositories.

## Use cases
- find papers on world models for robotics
- survey recent world model research for autonomous driving
- get started learning about world models
- find code implementations of world model papers
- track new publications in generative world modeling

## When to choose
- you need a curated, categorized bibliography of world model research
- you want quick links to papers, websites, and code in one place
- you are surveying embodied AI or autonomous driving world models

## When to avoid
- you need runnable software rather than a paper list
- you need an exhaustive or peer-reviewed literature review
- you need tutorials with hands-on code exercises

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: artificial-intelligence, machine-learning, deep-learning, robotics, autonomous-vehicles, awesome-lists, tutorials
- platform: -
- tags: awesome-list, world-models, embodied-ai, generative-models, curated-papers, research-resource, web-server

## Member repositories
- knightnemo/Awesome-World-Models (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:57.671853+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 2026-08-29T18:40:59.106223+00:00, confidence not recorded.
  - readme: https://github.com/knightnemo/Awesome-World-Models (fetched 2026-08-28T04:07:57.671853+00:00, sha d168af2b85f5)
- Data as of 2026-08-30T08:39:29.467469+00:00.