lindermanlab/ssm-jax

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MIT License
Created over 3 years ago
Updated 5 months ago

lindermanlab/ssm-jax

lindermanlab

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Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend

ssm

Bayesian learning and inference for state space models

Jupyter Notebook

S5

PPSeq.jl

Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains

hackathons

Jupyter notebooks from our weekly (or so) hackathons

Jupyter Notebook

warhmm

NeymanScottProcesses.jl

Fast samplers for Neyman-Scott processes.

Jupyter Notebook

SVAE-Revisited

sixo

nm-rnn

Work in progress...

Jupyter Notebook

gpslds

Project repo for gpSLDS

Jupyter Notebook

salt-public

ppseq-pytorch

A PyTorch implementation of the PPSeq model with EM fitting and GPU acceleration.

Jupyter Notebook

fos

Semi-NMF for Fos data

Jupyter Notebook

ssm-docs

Jupyter Notebook

dirichlet-tucker

Tucker decompositions with normalization constraints

Jupyter Notebook

logo

jxf

Exponential family distributions with TensorFlow probability and JAX