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Python framework for inference in Hawkes processes.
Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors.
Interpretable neural spike train models with fully-Bayesian inference algorithms
Bayesian learning and inference for state space models
My PhD Thesis