[Info Need] Cheatsheet of equivalent ops among TensorFlow-PyTorch-Jax?

I am looking for a details cheatsheet that demonstrates a similar operation among top frameworks. For example:

torch.bmm
tf.matmul

torch.unsqueeze
tf.exapnd_dims

tf.tensor_scatter_nd_update
torch.index_copy_

I’ve found one regarding this.
But I’m interested to know if there are details resources with minimal example codes for this. As a reference, It would be useful to translate the implementation among the frameworks.