An awesome list so popular it had to ban LLM pull requests

What it does

This is a long-running “awesome list” that catalogs machine learning frameworks, libraries, and software sorted by programming language. It covers everything from Python and C++ to Fortran, APL, and CUDA PTX, with subcategories for computer vision, natural language processing, reinforcement learning, and more. The maintainer also links out to separate curated lists for books, courses, events, blogs, and meetups.

The interesting bit

The most telling sign of its influence is the maintainer’s April 2026 notice: LLM-generated pull requests have become so overwhelming that contributors must now email proof of humanity before their additions are merged. It is a 72,000-star directory that has become a victim of its own success.

Key highlights

• Organized by language, with subcategories like General-Purpose ML, Computer Vision, NLP, and Deep Learning
• Includes obscure ecosystems: Crystal, Elixir, Erlang, OCaml, Scheme, SAS, and even APL
• Maintains deprecation markers for abandoned repositories (no commits for 2–3 years or explicit owner abandonment)
• Links to separate curated lists for books, courses, events, blogs, and meetups
• Star history chart included for those who like to watch network effects in action

Caveats

• The README is a wall of links with minimal annotation; you get a name and a one-line description, not guidance on which tool to pick
• Contribution now requires emailing the maintainer to prove you are human, which is unusual friction for a community list
• Some listed repositories are already marked as deprecated, so the list contains known dead ends

Verdict

Developers exploring ML in niche languages or hunting for a broad survey of the ecosystem should bookmark this. Those seeking detailed tool comparisons, active curation velocity, or an open contribution queue will be disappointed.