naka-lab / GP-HSMMLinks
☆22Updated 2 months ago
Alternatives and similar repositories for GP-HSMM
Users that are interested in GP-HSMM are comparing it to the libraries listed below
Sorting:
- ☆11Updated last year
- Straight port of Emily Fox's Beta Process Auto Regressive Hidden Markov Model package☆14Updated 10 years ago
- ☆46Updated 2 years ago
- A non-parametric Bayesian approach to Hidden Markov Models☆87Updated 2 years ago
- ☆51Updated last year
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- PyTorch implementation of the Covariate-GPLVM☆25Updated 5 years ago
- ☆97Updated 7 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 5 years ago
- ☆15Updated 2 years ago
- Time-Contrastive Learning☆65Updated 7 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 5 months ago
- A toolbox for inference of mixture models☆16Updated 2 years ago
- Recurrent Switching Linear Dynamical Systems☆112Updated 2 years ago
- PID-like control implemented as active inference with linear generative models☆11Updated 5 years ago
- Implementation codes of deep generative models with Pixyz☆106Updated 2 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Simple and extensible hypergradient for PyTorch☆18Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆129Updated last year
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆68Updated 10 months ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆13Updated 4 years ago
- An implementation of Resonator Networks☆20Updated 4 years ago
- Gaussian Mixture Regression☆195Updated last month
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.☆40Updated 4 months ago
- Preconditioned ICA for Real Data☆114Updated 2 weeks ago
- Infinite-horizon Gaussian processes☆33Updated 5 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆101Updated 10 months ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated last year