bertini36 / GMMLinks
Variational Inference in Gaussian Mixture Model
☆60Updated 4 years ago
Alternatives and similar repositories for GMM
Users that are interested in GMM are comparing it to the libraries listed below
Sorting:
- Bayesian Gaussian mixture models in Python.☆65Updated 2 years ago
- ☆29Updated 6 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 7 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- Multi-task Gaussian Process☆44Updated 10 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆101Updated 11 months ago
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- Kalman Variational Auto-Encoder☆137Updated 6 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 2 years ago
- Deep Markov Models☆132Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- ☆40Updated 6 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆69Updated 6 years ago
- Bayesian Neural Network in PyTorch☆91Updated last year
- Dirichlet Process K-means☆48Updated last year
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- ☆46Updated 2 years ago
- Online Robust Principal Component Analysis☆95Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Deep Gaussian Processes in matlab☆92Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year