brendanhasz / svi-gaussian-mixture-model
Notebook fitting a Bayesian Gaussian mixture model via stochastic variational inference w/ TensorFlow 2.0
☆14Updated 5 years ago
Alternatives and similar repositories for svi-gaussian-mixture-model:
Users that are interested in svi-gaussian-mixture-model are comparing it to the libraries listed below
- State-space deep Gaussian processes in Python and Matlab☆29Updated 2 years ago
- Recyclable Gaussian Processes☆11Updated 2 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
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆13Updated 3 years ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆77Updated last year
- Gaussian Online Processes for Python☆16Updated 2 months ago
- Active multi-fidelity Bayesian online changepoint detection.☆17Updated 3 years ago
- ☆14Updated last year
- ☆14Updated 6 years ago
- Gaussian processes regression models with linear inequality constraints☆14Updated 8 months ago
- A non-parametric Bayesian approach to Hidden Markov Models☆86Updated last year
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated last year
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- A distributed method for fitting Laplacian regularized stratified models.☆25Updated 4 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Updated 2 years ago
- Infinite-horizon Gaussian processes☆32Updated 4 years ago
- Sparse Spectrum Gaussian Process Regression☆22Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- A toolbox for inference of mixture models☆16Updated last year
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Continual Gaussian Processes☆32Updated last year
- Codes for Hilbert space reduced-rank GP regression☆14Updated 5 years ago
- Official documentation☆28Updated 4 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago