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Bayesian learning and inference for state space models
Jupyter Notebook 594 206
Python 280 54
Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
Julia 64 15
Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
Jupyter Notebook 58 7
Scalable and Stable Parallelization of Nonlinear RNNS
Jupyter Notebook 13 1
Python 12 2
Tucker decompositions with normalization constraints
Project repo for gpSLDS
Jupyter notebooks from our weekly (or so) hackathons
Parallelizing nonlinear dynamics--in PyTorch
Work in progress...
Port Forwarding Utility (Linderman Lab edition)
Code accompanying "Switching Autoregressive Low-Rank Tensor Models", Lee et al., NeurIPS, 2023.
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