FreeOTP might be a bit more popular than TensorFlow. We know about 8 links to it since March 2021 and only 7 links to TensorFlow. 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.
Https://freeotp.github.io/ is yet another TOTP provider by Red Hat. It's the only app that I've used so far. Available from F-Droid plus the usual places. There's also a fork FreeOTP+ by some people who have different ideas about the security model and enabling backup of keys. - Source: Hacker News / about 1 year ago
FreeOTP (version 2.0): Two-factor authentication. Source: over 1 year ago
Authy is a thing; Google Authenticator is a thing; FreeOTP is a thing; you can even buy external dongles and thumb drives for it (e.g. YubiKey that you can carry around on a keychain. Source: about 2 years ago
Is this a proprietary MFA app, or is it compatible with generic TOTP and HOTP apps? If it's the second case (where you can just scan a QR code and go your way), use an open-source client like FreeOTP, it won't even use a network connection or read any files except its own stored token. Source: over 2 years ago
FreeOTP Open source, free and backed by Red Hat, a large company. Big recommend! Source: over 2 years 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 / about 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: almost 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
Authy - Best rated Two-Factor Authentication smartphone app for consumers, simplest 2fa Rest API for developers and a strong authentication platform for the enterprise.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Aegis Authenticator - Aegis Authenticator is a free, secure and open source app to manage your 2-step verification tokens...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Google Authenticator - Google Authenticator is a multifactor app for mobile devices.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.