Toolkit for Text Generation and Beyond. Contribute to asyml/texar development by creating an account on GitHub.

The AI podcast hosts accessible, big-picture conversations at MIT and beyond about the nature of intelligence with some of the most interesting people in the world thinking about AI from the perspective of deep learning, robotics, AGI, neuroscience, philosophy, psychology, cognitive science, economics, physics, mathematics, and more.

These Python libraries make it easy to scratch that personal project itch.

http://tholman.com/css-conf-party-pack

Indoor movement prediction involves using wireless sensor strength data to predict the location and motion of subjects within a building. It is a challenging problem as there is no direct analytical model to translate the variable length traces of signal strength data from multiple sensors into user behavior.