slinderman/graphistician slinderman/graphistician

  • Stars
    star
    10
  • Rank 1,807,489 (Top 36 %)
  • Language
    Python
  • Created about 10 years ago
  • Updated over 8 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
slinderman/graphistician
github

slinderman

Reviews

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

Repository Details

Generative random network models and Bayesian inference algorithms

More Repositories

1

pyhawkes

Python framework for inference in Hawkes processes.
Python
219
star
2

stats320

STATS320: Statistical Methods for Neural Data Analysis
Jupyter Notebook
191
star
3

recurrent-slds

Recurrent Switching Linear Dynamical Systems
Python
91
star
4

pypolyagamma

Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
C++
79
star
5

pyglm

Interpretable neural spike train models with fully-Bayesian inference algorithms
Python
47
star
6

theano_pyglm

Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors.
Python
46
star
7

stats215

TeX
29
star
8

stats271sp2021

Material for STATS271: Applied Bayesian Statistics (Spring 2021)
Jupyter Notebook
26
star
9

stats305c

STATS305C: Applied Statistics III (Spring, 2023)
Jupyter Notebook
23
star
10

thesis

My PhD Thesis
TeX
21
star
11

pyhsmm_spiketrains

Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.
Python
12
star
12

tdlds

Reducing the temporal-difference learning theory of dopamine to a linear dynamical system
Jupyter Notebook
9
star
13

gslrandom

Cython wrapper for GSL random number generators
Python
7
star
14

stats305b

STATS 305B: Applied Statistics II. Models and Algorithms for Discrete Data.
Jupyter Notebook
6
star
15

cs281sec09

Graph models with MCMC
Python
5
star
16

neymanscott

Bayesian inference for Neyman-Scott processes
Jupyter Notebook
4
star
17

ml4nd

Machine Learning Methods for Neural Data Analysis
Jupyter Notebook
4
star
18

cython_openmp_mwe

Minimum working example of OpenMP with Cython
Python
2
star
19

birkhoff

Reparametrizing the Birkhoff Polytope
Jupyter Notebook
2
star
20

eigenglm

C++
2
star
21

dpriv_mcmc

Python
1
star
22

torchhmm

Pytorch extension to compute gradients through HMM message passing
Python
1
star