Alternatives and similar repositories for gpslds

Users that are interested in gpslds are comparing it to the libraries listed below

• tachukao / mgplvm-pytorch
  ☆24Updated 2 years ago
• engellab / neuralflow
  The framework for inferring Langevin dynamics from spike data
  ☆47Updated 6 months ago
• erikher / GridCellTorus
  ☆33Updated last year
• Dynamics-of-Neural-Systems-Lab / RVGP
  A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…
  ☆24Updated last year
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 5 years ago
• marineschimel / ilqr_vae
  ☆12Updated 2 years ago
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆19Updated 4 months ago
• catniplab / xfads
  large scale variational Gaussian state-space models
  ☆14Updated last month
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆14Updated 2 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• mackelab / neuralgbi
  Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…
  ☆11Updated 2 years ago
• yu-takagi / dSCA
  Demixed Shared Component Analysis
  ☆13Updated 5 years ago
• dLDS-Decomposed-Linear-Dynamics / dLDS-Discrete-Python-Model
  Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
  ☆12Updated last year
• BrainsoupFactory / moment-neural-network
  The offcial implementation of the Moment Neural Network (MNN)
  ☆12Updated 3 months ago
• sompolinsky-lab / dnn-object-manifolds
  ☆52Updated 4 years ago
• BrainCOGS / HPC_manifolds
  Analysis of hippocampal activity in the towers task
  ☆20Updated 4 years ago
• neuro-galaxy / brainsets
  ☆20Updated this week
• jbakermans / ManifoldTutorial
  Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)
  ☆20Updated 4 years ago
• timkimd / plnde
  Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"
  ☆13Updated 4 years ago
• neurostatslab / wishart-process
  Estimating Noise Correlations in Neural Populations with Wishart Processes
  ☆10Updated last year
• DurstewitzLab / dendPLRNN
  ☆22Updated last year
• vicariousinc / naturecomm_cscg
  ☆41Updated 3 years ago
• RothkopfLab / lqg
  Inverse optimal control for continuous psychophysics
  ☆29Updated last week
• oizumi-lab / GWTune
  ☆22Updated 9 months ago
• roxana-zeraati / abcTau
  a Python package for unbiased estimation of timescales and hypothesis testing
  ☆27Updated 7 months ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 6 years ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• acerbilab / pybads
  PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
  ☆79Updated last month
• geometric-intelligence / neurometry
  Quantify geometric intelligence in natural and artificial brains.
  ☆51Updated 5 months ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆70Updated 2 years ago