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Based on our record, Keyoxide should be more popular than TensorFlow. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The analog I’ve seen posted around online is https://keyoxide.org/. - Source: Hacker News / 5 months ago
Keyoxide may be worth checking out as a FOSS alternative: https://keyoxide.org/. - Source: Hacker News / 9 months ago
It's not exactly what you're saying but https://keyoxide.org/ Is all the best ideas of keybase. Basically if you trust someone has control over multiple different accounts you can also trust their pgp key. - Source: Hacker News / about 1 year ago
How is keybase holding up after the takeover? I bumped into https://keyoxide.org and since I'm not interested in the chat parts, keeping an eye on that. - Source: Hacker News / about 1 year ago
About 7, if you're thinking about proving to other users that your display name is your legal name, I have not seen this in Matrix itself. Of course, server administrators may require an identity verification to let you register an account (e.g. university, governement), but that's handled by them, not Matrix. For the wider web, although it's not what you asked ofr, you can look into third-party identity... Source: about 1 year ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
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Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.