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DSSTNE (pronounced "Destiny") is an open source software library for training and deploying recommendation models with sparse inputs, fully connected hidden layers, and sparse outputs. Models with weight matrices that are too large for a single GPU can still be trained on a single host. DSSTNE has been used at Amazon to generate personalized product recommendations for our customers at Amazon's scale.
The main idea of this project is to get the personalization part out from the web application's code. This will be a pluggable framework for any web application. So that the developer of the web application can plug this tool to their application with very few configurations and fulfill the personalization requirement.
Yubico's YubiKey can be re-programmed. This project's purpose is to provide a reference implementation for configuration of YubiKey's. See the ReadMe for more information. Debian packages for YubiKey Personalization are available thanks to Tollef Fog Heen: http://packages.debian.org/sid/yubikey-personalization http://packages.qa.debian.org/y/yubikey-personalization.html Fedora packages are available thanks to Maxim Burgerhout: https://bugzilla.redhat.com/show_bug.cgi?id=557794 We are moving from
The Yubikey is a security device that acts as a USB keyboard to provide secure authentification by a one-time password. The device draws power from the USB port and does not contain batteries or require any other external power. This is a Mac OS X version of the Personalization tool that currently only exists for Windows. We haven't released any code yet, but hope to get something up soon. So please check back here often.