[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.

Perhaps Nobuco converter might suit those needs. It transforms pytorch modules into tensorflow and does so directly, meaning it’s possible to write node converters as simple human-readable functions. More on that here.

Thanks for informing. I came to know about nobuco few days ago, it looks really cool. However, chat-gpt is a great alternative too, at least it can give some useful pointer, fair enough.