Linderman Lab

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1. ssm ssm Public

   Bayesian learning and inference for state space models

   Jupyter Notebook 727 237

2. S5 S5 Public

   Python 325 80

3. PPSeq.jl PPSeq.jl Public

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

   Julia 72 15

4. ssm-jax ssm-jax Public

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

   Jupyter Notebook 65 6

5. parallel-mcmc parallel-mcmc Public

   Parallelizing MCMC across the sequence length via Newton's method.

   Python 45 3

6. sing sing Public

   SING: SDE Inference via Natural Gradients

   Python 42 5