naka-lab / HDP-GP-HSMM
☆10Updated last year
Alternatives and similar repositories for HDP-GP-HSMM:
Users that are interested in HDP-GP-HSMM are comparing it to the libraries listed below
- ☆22Updated 3 years ago
- PyTorch implementation of the Covariate-GPLVM☆26Updated 5 years ago
- ☆46Updated 2 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Predictive principal component analysis (PredPCA)☆19Updated 3 years ago
- ☆20Updated 2 months ago
- Code for the simulations in the neural Kalman filtering paper☆17Updated 3 years ago
- An implementation of a differentiable point process and a differentiable spiking neural network.☆20Updated 3 years ago
- Neural Optimal Feedback Control☆11Updated 3 years ago
- Train and visualise a latent variable model of moving objects.☆15Updated 5 years ago
- ☆51Updated 9 months ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-paramet…☆15Updated 6 years ago
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆50Updated 5 years ago
- ☆14Updated 3 years ago
- Official documentation☆29Updated 4 years ago
- PyTorch Implementation of Variational Recurrent Autoencoder☆12Updated 6 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- Implementations of various random kitchen sinks algorithms.☆12Updated 5 years ago
- Source code for the AnimalAI environment☆11Updated 5 years ago
- WICA: nonlinear weighted ICA☆12Updated last year
- An implementation of Resonator Networks☆19Updated 4 years ago
- A library for hidden semi-Markov models with explicit durations☆85Updated 3 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- Chaotic Recurrent Neural Network model☆17Updated 8 years ago
- Simple and extensible hypergradient for PyTorch☆16Updated 2 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated 3 months ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Superlets algorithm for time-frequency analysis implemented in JAX/Python☆33Updated last year
- A non-parametric Bayesian approach to Hidden Markov Models☆87Updated last year