lindermanlab / SVAE-RevisitedLinks
☆10Updated last year
Alternatives and similar repositories for SVAE-Revisited
Users that are interested in SVAE-Revisited are comparing it to the libraries listed below
Sorting:
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated 11 months ago
- ☆23Updated last year
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Dynamical Components Analysis☆32Updated last year
- Black box variational inference for state space models☆2Updated 8 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- ☆12Updated last year
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Poisson Identifiable VAE (pi-VAE)☆51Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- neuronal message passing☆17Updated 6 years ago
- ☆20Updated last year
- Sequential Neural Likelihood☆40Updated 5 years ago
- Official code for Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells (NeurIPS workshop on Symmetry and Geo…☆11Updated 2 years ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- ☆20Updated 3 months ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- ☆12Updated 3 years ago
- ☆11Updated 2 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- ☆96Updated 6 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- ☆14Updated last year