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    owainlewis

    owainlewis/awesome-artificial-intelligence

    A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

    ai
    deep-learning
    machine-learning
    artificial-intelligence
    intelligent-machines
    intelligent-systems
    machine-intelligence
    neural-network
    Python
    MIT
    16.8K stars
    2.6K forks
    16.8K GitHub watchers
    Updated Nov 4, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 47 contributors on GitHub.

    Use Cases & Benefits

    • Curates a high-quality, opinionated list of AI resources including courses, books, papers, and tools for software developers.
    • Ensures every resource meets strict criteria for technical depth, practical value, and distinctiveness, maintained with evidence-backed automation.
    • Use for developers seeking foundational and advanced knowledge to build and deploy generative AI and agentic systems.
    • Use for AI engineers needing curated references on coding agents, evaluation frameworks, and deployment best practices.
    • Use for educators and learners wanting a vetted, up-to-date collection of AI learning materials and research papers.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    An opinionated, actively maintained collection of resources for software developers learning to build and ship generative AI and agentic systems.

    This is not a comprehensive directory of AI products. Every entry must clear an absolute quality bar for technical depth, practical value, evidence, and distinctiveness. Categories are not quotas, and a short category is better than one padded with weak choices.

    The list is reviewed weekly by an evidence-backed automation that proposes small changes for human review. See how resources are evaluated.

    Excerpt from the owainlewis/awesome-artificial-intelligence README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Sep 22: +5

    +998 stars over 82 days across 8 snapshot days; best day +5 on Sep 22.

    Forks

    2.6K+101

    Open issues

    82+15

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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