- BLOG: a probabilistic programming language for machine learning
- DynaMMo: learning toolbox for multi-dimensional co-evolving time series. github page
- CLDS: complex-valued linear dynamical system
- PLiF: time-shift-invariant feature extraction for time series
- BoLeRO: human motion capture occlution recovering
- paralearn: a parallel algorithm for learning Markov models and linear dynamical systems (i.e. Kalman filter)
- MLDS: learning dynamical model for tensor time series
