Alternatives and similar repositories for SVAE-Revisited

Users that are interested in SVAE-Revisited are comparing it to the libraries listed below

• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated 3 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated 2 years ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆116Updated 2 years ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 5 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆37Updated 5 years ago
• gpapamak / snl
  Sequential Neural Likelihood
  ☆42Updated 6 years ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• mattjj / pyslds
  ☆98Updated 7 years ago
• iffsid / DReG-PyTorch
  A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"
  ☆18Updated 6 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 4 years ago
• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆30Updated 3 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆33Updated 4 months ago
• engellab / neuralflow
  The framework for inferring Langevin dynamics from spike data
  ☆48Updated 7 months ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆67Updated 7 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆50Updated 2 years ago
• crispitagorico / sigkernel
  Differentiable computations for the signature-PDE-kernel on CPU and GPU.
  ☆57Updated 2 months ago
• oizumi-lab / GWTune
  ☆22Updated 10 months ago
• lindermanlab / gpslds
  Project repo for gpSLDS
  ☆15Updated last year
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆34Updated 4 years ago
• tejparr / nmpassing
  neuronal message passing
  ☆19Updated 7 years ago
• dieterichlawson / snax
  ☆12Updated 2 years ago
• HHalva / hmnlica
  Code for Hidden Markov Nonlinear ICA
  ☆24Updated 4 years ago
• piomonti / carefl
  Code for "Causal autoregressive flows" - AISTATS, 2021
  ☆45Updated 4 years ago
• sompolinsky-lab / dnn-object-manifolds
  ☆52Updated 4 years ago
• dimkal89 / rvae
  ☆37Updated 5 years ago
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆39Updated 5 years ago
• DurstewitzLab / dendPLRNN
  ☆22Updated last year