slinderman/pyhawkes
Python framework for inference in Hawkes processes.
Developer Profile
slinderman
Discovered public repositories for slinderman in the GitHub catalog.
slinderman/pybasicbayes
Public repository.
slinderman/pyglm
Interpretable neural spike train models with fully-Bayesian inference algorithms
slinderman/pypolyagamma
Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
slinderman/pyhsmm_spiketrains
Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.
slinderman/eigenglm
Public repository.
slinderman/graphistician
Generative random network models and Bayesian inference algorithms
slinderman/dpriv_mcmc
Public repository.
slinderman/theano_pyglm
Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors.
slinderman/cs281sec09
Graph models with MCMC