v0.1.0

sspy version 0.1.0

Implementation of initial code base for filters and smoothers, including linear-discrete, extended and unscented Kalman filters and Rauch-Tung-Streibel smoothers. Jupyter notebooks can be found in notebooks/ and a demo script of linear-discrete Kalman filtering, smoothing and predicting can be found in demo/linear-discrete-kalman.py.