lindermanlab / SVAE-RevisitedLinks
☆10Updated 2 years ago
Alternatives and similar repositories for SVAE-Revisited
Users that are interested in SVAE-Revisited are comparing it to the libraries listed below
Sorting:
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 3 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 5 years ago
- ☆24Updated 2 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Updated 6 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆62Updated last year
- ☆14Updated 3 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 6 years ago
- ☆37Updated 5 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Recurrent Switching Linear Dynamical Systems☆116Updated 2 years ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆20Updated 4 years ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆57Updated 3 months ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆50Updated 2 years ago
- Kernel Identification Through Transformers☆14Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- Recurrent state-space models for decision making☆30Updated 3 years ago
- ☆99Updated 7 years ago
- ☆12Updated 4 years ago
- The framework for inferring Langevin dynamics from spike data☆48Updated 8 months ago
- neuronal message passing☆19Updated 7 years ago
- Dirichlet-Variational Auto-Encoder by PyTorch☆24Updated 3 months ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Time-Contrastive Learning☆68Updated 7 years ago
- Poisson Identifiable VAE (pi-VAE)☆52Updated 4 years ago
- Code for Hidden Markov Nonlinear ICA☆24Updated 4 years ago