PyTorch vs TensorFlow.js: What are the differences?
PyTorch and TensorFlow.js can be primarily classified as "Machine Learning" tools.
PyTorch and TensorFlow.js are both open source tools. It seems that PyTorch with 29.6K GitHub stars and 7.18K forks on GitHub has more adoption than TensorFlow.js with 11.2K GitHub stars and 816 GitHub forks.
Suggestic, cotobox, and Depop are some of the popular companies that use PyTorch, whereas TensorFlow.js is used by 8villages, ADEXT, and Taralite. PyTorch has a broader approval, being mentioned in 21 company stacks & 46 developers stacks; compared to TensorFlow.js, which is listed in 5 company stacks and 3 developer stacks.
I have just started learning some basic machine learning concepts. So which of the following frameworks is better to use: Keras / TensorFlow/PyTorch. I have prior knowledge in python(and even pandas), java, js and C. It would be nice if something could point out the advantages of one over the other especially in terms of resources, documentation and flexibility. Also, could someone tell me where to find the right resources or tutorials for the above frameworks? Thanks in advance, hope you are doing well!!