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    30 repositories

    • lindermanlab.github.io

      Public
      Lab Homepage
      CSS
      •
      Other
      •0•0•0•0•Updated Jan 28, 2026Jan 28, 2026

    • predictability_enables_parallelization

      Public
      Official repo for "Predictability Enables Parallelization of Nonlinear State Space Models" by Gonzalez*, Kozachkov*, et al. Published NeurIPS '25.
      Python
      •
      MIT License
      •1•2•0•0•Updated Jan 16, 2026Jan 16, 2026

    • gpslds

      Public
      Project repo for gpSLDS
      Jupyter Notebook
      •4•17•0•0•Updated Jan 12, 2026Jan 12, 2026

    • dirichlet-tucker

      Public
      Tucker decompositions with normalization constraints
      Jupyter Notebook
      •
      MIT License
      •0•1•0•0•Updated Jan 12, 2026Jan 12, 2026

    • sing

      Public
      SING: SDE Inference via Natural Gradients
      Python
      •
      MIT License
      •4•35•0•0•Updated Dec 9, 2025Dec 9, 2025

    • parallel-mcmc

      Public
      Parallelizing MCMC across the sequence length via Newton's method.
      Python
      •
      BSD 3-Clause "New" or "Revised" License
      •0•18•0•0•Updated Nov 25, 2025Nov 25, 2025

    • ppseq-pytorch

      Public
      A PyTorch implementation of the PPSeq model with EM fitting and GPU acceleration.
      Jupyter Notebook
      •2•4•0•2•Updated Oct 21, 2025Oct 21, 2025

    • elk

      Public
      Scalable and Stable Parallelization of Nonlinear RNNS
      Jupyter Notebook
      •
      BSD 3-Clause "New" or "Revised" License
      •2•28•0•0•Updated Oct 21, 2025Oct 21, 2025

    • parallelizing_with_lds

      Public
      Official repo for "A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems"
      Python
      •
      MIT License
      •1•5•0•0•Updated Sep 25, 2025Sep 25, 2025

    • informed-correctors

      Public
      Code for the paper "Informed Correctors for Discrete Diffusion Models"
      Python
      •0•1•1•0•Updated Sep 9, 2025Sep 9, 2025

    • ssm

      Public
      Bayesian learning and inference for state space models
      Jupyter Notebook
      •
      MIT License
      •225•672•31•1•Updated May 9, 2025May 9, 2025

    • S5

      Public
      Python
      •
      MIT License
      •71•314•0•0•Updated Jan 8, 2025Jan 8, 2025

    • hackathons

      Public
      Jupyter notebooks from our weekly (or so) hackathons
      Jupyter Notebook
      •4•11•0•0•Updated Dec 3, 2024Dec 3, 2024

    • elk-torch

      Public
      Parallelizing nonlinear dynamics--in PyTorch
      Python
      •
      MIT License
      •1•3•0•0•Updated Dec 2, 2024Dec 2, 2024

    • elk-dev

      Public
      Scalable and Stable Parallelization of Nonlinear RNNS
      Python
      •
      BSD 3-Clause "New" or "Revised" License
      •2•2•0•0•Updated Nov 26, 2024Nov 26, 2024

    • nm-rnn

      Public
      Work in progress...
      Jupyter Notebook
      •1•8•0•0•Updated Oct 23, 2024Oct 23, 2024

    • forward

      Public
      Port Forwarding Utility (Linderman Lab edition)
      Shell
      •
      MIT License
      •29•1•0•0•Updated Oct 18, 2024Oct 18, 2024

    • salt

      Public
      Code accompanying "Switching Autoregressive Low-Rank Tensor Models", Lee et al., NeurIPS, 2023.
      Jupyter Notebook
      •
      Apache License 2.0
      •0•0•0•0•Updated Sep 30, 2024Sep 30, 2024

    • dynamax-slds

      Public
      State Space Models library in JAX
      Jupyter Notebook
      •
      MIT License
      •105•2•0•1•Updated Sep 14, 2024Sep 14, 2024

    • fos

      Public
      Semi-NMF for Fos data
      Jupyter Notebook
      •
      MIT License
      •2•1•0•0•Updated Jul 9, 2024Jul 9, 2024

    • ssm-jax

      Public
      Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
      Jupyter Notebook
      •
      MIT License
      •6•62•14•4•Updated Jun 17, 2024Jun 17, 2024

    • SVAE-Revisited

      Public
      Python
      •
      MIT License
      •2•10•0•0•Updated Jan 12, 2024Jan 12, 2024

    • NeymanScottProcesses.jl

      Public
      Fast samplers for Neyman-Scott processes.
      Jupyter Notebook
      •
      MIT License
      •0•9•1•1•Updated Nov 28, 2023Nov 28, 2023

    • PPSeq.jl

      Public
      Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
      Julia
      •
      MIT License
      •15•70•0•1•Updated Jul 18, 2023Jul 18, 2023

    • scalable-gaussian-hmm

      Public
      Whole-lifespan modelling of physical behavior
      Jupyter Notebook
      •
      MIT License
      •0•1•4•0•Updated Jun 25, 2023Jun 25, 2023

    • warhmm

      Public
      Python
      •
      MIT License
      •2•12•0•0•Updated Feb 27, 2023Feb 27, 2023

    • sixo

      Public
      Python
      •
      MIT License
      •0•4•0•0•Updated Nov 19, 2022Nov 19, 2022

    • ssm-docs

      Public
      Docs for SSM
      Jupyter Notebook
      •0•2•0•0•Updated Oct 4, 2022Oct 4, 2022

    • jxf

      Public
      Exponential family distributions with TensorFlow probability and JAX
      Python
      •0•1•0•0•Updated Apr 19, 2021Apr 19, 2021

    • logo

      Public
      Lab Logo
      Python
      •1•1•0•0•Updated Nov 14, 2020Nov 14, 2020