Based on our record, Authy seems to be a lot more popular than TensorFlow. While we know about 139 links to Authy, we've tracked only 7 mentions of 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.
Authy - Two-factor authentication (2FA) on multiple devices, with backups. Drop-in replacement for Google Authenticator. Free for up to 100 successful authentications. - Source: dev.to / 3 months ago
Https://authy.com/ Acquired by Twilio. I'm not even sure if they still update it, last blog post was 3 years ago. - Source: Hacker News / 5 months ago
2FA apps such as Google Authenticator and Authy randomly generate a code every minute or so, which is matched to a specific key associated with your login. In essence, this means that whenever a login asks for your 2FA code, it knows which number to expect and will only unlock if that correct number is entered. Source: 5 months ago
You can also set up the Authy authenticator app on a PC, so you don't have to use a mobile app at all, but use a PC app instead :). Source: 10 months ago
Check out authy. It's considered less secure than other device-specific OTP solutions, but it's better than not using it. Source: 11 months 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
Google Authenticator - Google Authenticator is a multifactor app for mobile devices.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Duo Security - Duo Security provides cloud-based two-factor authentication. Duo’s technology can be deployed to protect users, data, and applications from breaches, credential theft, and account takeover.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Azure Multi-Factor Authentication - Azure Multi-Factor Authentication helps safeguard access to data and applications while meeting user demand for a simple sign-in process.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.