TensorFlow-Book is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named TensorFlow-Book among their alternatives. The relationship is not symmetric — how TensorFlow-Book rates them is a separate judgement, made when TensorFlow-Book is analysed in its own right.
calls TensorFlow-Book “Companion notebooks for a TensorFlow machine-learning book; choose it if your stack is TensorFlow, not PyTorch.”
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
calls TensorFlow-Book “older TensorFlow book code, choose for classic ML with TensorFlow instead of fastai.”
The fastai book, published as Jupyter Notebooks