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ssm
Bayesian learning and inference for state space modelsS5
PPSeq.jl
Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trainsssm-jax
Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backendhackathons
Jupyter notebooks from our weekly (or so) hackathonswarhmm
NeymanScottProcesses.jl
Fast samplers for Neyman-Scott processes.SVAE-Revisited
sixo
nm-rnn
Work in progress...salt-public
fos
Semi-NMF for Fos datassm-docs
Docs for SSMdirichlet-tucker
Tucker decompositions with normalization constraintslogo
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