As you’ve seen, TensorFlow has a lot of projects We encourage writing Jupyter (Colab) notebooks for all guides and tutorials since we can 1. test the docs to make sure everything works on tensorflow.org, and 2. provide an nice user experience for interactive learning. Here’s a blog post about that.
The “core” TensorFlow docs live together under /guide and /tutorials and these are mostly notebooks. There are additional projects listed under the Resources section in the top nav: Models & datasets, Tools, and LIbraries & extensions. They may link to other sections of the website or maybe just out to a GitHub project—it depends if it’s for production, for research, and project stability.
There’s not a good way to see all technical docs and notebooks across the site but, in the translations repo, you can find a nightly snapshot of all project docs aggregated together. Could be interesting browsing if you’re just looking for notebooks and to get a sense of the larger structure.