What it does

mlhub123 is a Chinese-language index of machine learning and deep learning resources: news sites, tools, communities, courses, datasets, and paper repositories. It lives as a GitHub README and a companion website (mlhub123.com). Think of it as a community-maintained bookmarks folder for the ML-curious.

The interesting bit

The curation leans heavily toward Chinese-language learners and researchers—mixing Western staples (Distill, fast.ai, arXiv) with domestic hubs like 机器之心, 天池大数据, and 李宏毅’s NTU lectures. The README itself is the product; there is no code to run.

Key highlights

• Six navigation categories: news, tools, communities, blogs, paper search, and competitions
• Course coverage spans Andrew Ng, David Silver (reinforcement learning), 3Blue1Brown, and multiple Chinese university lecturers
• Tool links include Colab, Hugging Face, Connected Papers, and even SCI-HUB
• Open to PRs: the README explicitly invites resource submissions
• Companion site mirrors the list with referral tracking (?from=www.mlhub123.com)

Caveats

• README is link-heavy and description-light; some entries are just a URL and a one-line tag
• No quality ranking or annotation depth—it’s a directory, not a review
• Last substantial update timing is unclear from the sources

Verdict

Worth a bookmark if you’re a Chinese-speaking developer or student wading into ML and want a starting point denser than a Google search. Skip it if you already curate your own feeds or need interactive tooling.