Keras
TensorFlow
PyTorch
Scikit-learn
OpenCV
TFlearn
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
Authy
Google Authenticator
Duo Security
Azure Multi-Factor Authentication
Microsoft Authenticator
OpenSSL
Lastpass
Let's Encrypt
Based on our record, Authy should be more popular than Keras. It has been mentiond 139 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 core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 9 days ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 2 months ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 2 months ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 12 months ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
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 / 4 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 / 6 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: 7 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: 11 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: about 1 year ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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.
