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4 resources
NVIDIA's organization page on Hugging Face, hosting publicly listed AI models, datasets, and related resources, including the Nemotron dataset family. Individual assets carry their own license terms.
A platform for data science competitions, public datasets, and collaborative notebooks to practice machine learning.
Why I recommend it: Competitions, public datasets, and notebooks are free; heavy compute or private datasets need a paid plan.
Microsoft's research division: published papers, open datasets and tools, plus its internship and residency programs.
From the site: Explore research at Microsoft, a site featuring the impact of research along with publications, products, downloads, and research careers.
Why I recommend it: The publications are free to read and the programs page lists real entry routes into research work. Both are more useful than the marketing pages.
A free, CERN-operated repository where researchers publish papers, datasets, code and reports with permanent DOIs — open access, no subscription.
Why I recommend it: If a paper is paywalled elsewhere, search here first; you can also publish your own work and get a citable DOI for free.
