brendanhasz / svi-gaussian-mixture-modelLinks
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
Sorting:
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Gaussian Online Processes for Python☆18Updated 5 months ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 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
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- ☆15Updated 6 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Updated 2 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
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Continual Gaussian Processes☆32Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Updated 6 months ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- Python code for SGMCMC for Time Series SSMs☆12Updated 4 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- ☆14Updated last year
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 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
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Streaming sparse Gaussian process approximations☆66Updated 2 years ago
- Infinite-horizon Gaussian processes☆33Updated 4 years ago
- Implementation of the Bayesian Online Change-point Detector of Ryan Prescott Adams and David McKay.☆15Updated 3 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Gaussian processes regression models with linear inequality constraints☆14Updated 10 months ago
- ☆25Updated 4 years ago