Alternatives and similar repositories for state-space-mixture:

Users that are interested in state-space-mixture are comparing it to the libraries listed below

• mattjj / pyslds
  ☆94Updated 6 years ago
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆106Updated last year
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆32Updated last year
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆89Updated 6 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 3 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆58Updated 9 months ago
• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆30Updated 2 years ago
• tachukao / mgplvm-pytorch
  ☆23Updated last year
• kasparmartens / c-GPLVM
  PyTorch implementation of the Covariate-GPLVM
  ☆26Updated 5 years ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 4 years ago
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆12Updated 5 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 3 years ago
• fdtomasi / regain
  REGAIN (Regularised Graphical Inference)
  ☆29Updated last year
• mackelab / poisson-gpfa
  Gaussian process factor analysis with Poisson observations
  ☆18Updated 2 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆64Updated 6 years ago
• BiuBiuBiLL / NPEET_LNC
  local non-uniformity correction for mutual information estimation
  ☆69Updated 3 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 5 years ago
• jdtuck / fdasrsf_python
  elastic fda python code
  ☆53Updated this week
• robince / gcmi
  Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
  ☆87Updated 4 years ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆16Updated 4 years ago
• aecker / gpfa
  Gaussian Process Factor Analysis
  ☆30Updated 9 years ago
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated 2 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆63Updated 2 months ago
• gatsby-sahani / gp-sde
  ☆14Updated last year
• wittawatj / fsic-test
  ICML 2017. Kernel-based adaptive linear-time independence test.
  ☆16Updated 3 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• marineschimel / ilqr_vae
  ☆11Updated 2 years ago