Scott Linderman's repositories
recurrent-slds
Recurrent Switching Linear Dynamical Systems
pypolyagamma
Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
stats271sp2021
Material for STATS271: Applied Bayesian Statistics (Spring 2021)
pyhsmm_spiketrains
Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.
graphistician
Generative random network models and Bayesian inference algorithms
neymanscott
Bayesian inference for Neyman-Scott processes
course-content
NMA Computational Neuroscience course
cython_openmp_mwe
Minimum working example of OpenMP with Cython
variational_autoencoder
Playing with Matt's VAE code