likang7 / variational-dpgmm
Variational Dirichlet Process Gaussian Mixture Models
☆27Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for variational-dpgmm
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆70Updated 12 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆32Updated 10 years ago
- Direct Gibbs sampling for DPMM using python.☆16Updated 7 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Updated 6 years ago
- Deep Gaussian Processes in matlab☆90Updated 3 years ago
- Multi-task Gaussian Process☆43Updated 9 years ago
- The source code is related to our work- Shreyas Seshadri, Ulpu Remes and Okko Rasanen: "Dirichlet process mixture models for clustering i…☆10Updated 7 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 7 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 10 years ago
- Infinite Gaussian Mixture Model / Variational EM☆12Updated 11 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- code and data for the paper `Kernel Manifold Alignment for domain adaptation'☆19Updated 8 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Variational Gaussian Process State-Space Models☆21Updated 9 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- ☆28Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 3 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 9 months ago
- Variational Inference in Gaussian Mixture Model☆57Updated 4 years ago
- Conditional variational autoencoder implementation in Torch☆104Updated 8 years ago
- PyTorch implementation of the Covariate-GPLVM☆26Updated 4 years ago
- Clustering Analysis via Deep Generative Models With Mixture Models powered by@pytorch☆13Updated 2 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆132Updated 7 years ago
- ☆11Updated 8 years ago
- Deep Generative Models with Stick-Breaking Priors☆94Updated 8 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆48Updated 9 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago