slinderman Goto Github PK

allensdk

code for reading and processing Allen Institute for Brain Science data

bbmi4s

A work in progress

birkhoff

Reparametrizing the Birkhoff Polytope

blackjax

BlackJAX is a sampling library designed for ease of use, speed and modularity.

caiman

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

course-content

NMA Computational Neuroscience course

cs281sec09

Graph models with MCMC

cython_openmp_mwe

Minimum working example of OpenMP with Cython

dpriv_mcmc

eigenglm

graphistician

Generative random network models and Bayesian inference algorithms

gslrandom

Cython wrapper for GSL random number generators

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

ml4nd

Machine Learning Methods for Neural Data Analysis

neymanscott

Bayesian inference for Neyman-Scott processes

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

pybasicbayes

pyglm

Interpretable neural spike train models with fully-Bayesian inference algorithms

pyhawkes

Python framework for inference in Hawkes processes.

pyhsmm_spiketrains

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

pypolyagamma

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

recurrent-slds

Recurrent Switching Linear Dynamical Systems

stats215

stats271sp2021

Material for STATS271: Applied Bayesian Statistics (Spring 2021)

stats305b

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

stats305c

STATS305C: Applied Statistics III (Spring, 2023)

stats320

STATS320: Statistical Methods for Neural Data Analysis

svae

code for Structured Variational Autoencoders

tdlds

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

theano_pyglm

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