slinderman/thesis

Stars
21
Rank 1,078,240 (Top 22 %)
Language
TeX
Created almost 9 years ago
Updated over 8 years ago

slinderman/thesis

slinderman

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

My PhD Thesis

pyhawkes

Python framework for inference in Hawkes processes.

stats320

STATS320: Statistical Methods for Neural Data Analysis

Jupyter Notebook

recurrent-slds

Recurrent Switching Linear Dynamical Systems

pypolyagamma

Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.

pyglm

Interpretable neural spike train models with fully-Bayesian inference algorithms

theano_pyglm

Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors.

stats215

stats271sp2021

Material for STATS271: Applied Bayesian Statistics (Spring 2021)

Jupyter Notebook

stats305c

STATS305C: Applied Statistics III (Spring, 2023)

Jupyter Notebook

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

tdlds

Reducing the temporal-difference learning theory of dopamine to a linear dynamical system

Jupyter Notebook

gslrandom

Cython wrapper for GSL random number generators

cs281sec09

Graph models with MCMC

neymanscott

Bayesian inference for Neyman-Scott processes

Jupyter Notebook

ml4nd

Machine Learning Methods for Neural Data Analysis

Jupyter Notebook

stats305b

STATS 305B: Applied Statistics II. Models and Algorithms for Discrete Data.

Jupyter Notebook

cython_openmp_mwe

Minimum working example of OpenMP with Cython

birkhoff

Reparametrizing the Birkhoff Polytope

Jupyter Notebook

eigenglm

dpriv_mcmc

torchhmm

Pytorch extension to compute gradients through HMM message passing