kasparmartens / c-GPLVMLinks
PyTorch implementation of the Covariate-GPLVM
☆25Updated 5 years ago
Alternatives and similar repositories for c-GPLVM
Users that are interested in c-GPLVM are comparing it to the libraries listed below
Sorting:
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 5 months ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- ☆98Updated 7 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- ☆51Updated last year
- local non-uniformity correction for mutual information estimation☆71Updated 4 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Optimal transport transforms☆23Updated 7 years ago
- Python implementation of the PR-SSM.☆55Updated 7 years ago
- Python library for Recurrent Gaussian Processes☆20Updated 7 years ago
- python code for kernel methods☆41Updated 6 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Updated 7 years ago
- Kalman Variational Auto-Encoder☆137Updated 6 years ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- ☆40Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- ☆15Updated 2 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Updated 5 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆196Updated 2 years ago