Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

An adversarial example library for constructing attacks, building defenses, and benchmarking both

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017