yumilceh / igmmLinks
Incremental Learning of Gaussian Mixture Models (IGMM)
☆30Updated 6 years ago
Alternatives and similar repositories for igmm
Users that are interested in igmm are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆93Updated 3 years ago
- ☆46Updated 2 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19Updated 6 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Implementation of incremental learning algorithms for Matlab.☆18Updated 11 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆13Updated 3 years ago
- Incremental and Adaptative Gaussian Mixture Model Library is an implementation of a machine learning algorithms based on GMM. The algorit…☆13Updated 5 years ago
- Code for the simulations in the neural Kalman filtering paper☆17Updated 3 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- ☆40Updated 5 years ago
- ☆15Updated 6 years ago
- This project provides Slow Feature Analysis as a scikit-learn-style package.☆41Updated last year
- ☆28Updated 5 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 6 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆19Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated 2 years ago
- Adversarial Non-linear Independent Component Analysis☆50Updated 7 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Dirichlet Process Mixture Models☆22Updated 8 years ago
- Streaming sparse Gaussian process approximations☆66Updated 2 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 9 years ago
- Python library for Recurrent Gaussian Processes☆19Updated 7 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- Particle Filter Recurrent Neural Networks (AAAI 2020)☆77Updated 10 months ago
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Updated 7 years ago
- Infinite-horizon Gaussian processes☆33Updated 4 years ago