jameshensman / pythonGPLVM
Implementation of the GPLVM algorithm in python
☆45Updated 14 years ago
Related projects ⓘ
Alternatives and complementary repositories for pythonGPLVM
- ☆90Updated 6 years ago
- Variational Gaussian Process State-Space Models☆21Updated 9 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated last year
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- Python library for Recurrent Gaussian Processes☆19Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆132Updated 7 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆147Updated 5 years ago
- Neural Processes implementation for 1D regression☆65Updated 5 years ago
- PyTorch implementation of the Covariate-GPLVM☆26Updated 4 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Deep Gaussian Processes in matlab☆90Updated 3 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 10 years ago
- Continual Gaussian Processes☆31Updated last year
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Additive Gaussian Process Bandits - version 1.0☆25Updated 7 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Structured Inference Networks for Nonlinear State Space Models☆265Updated 7 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Multi-task Gaussian Process☆43Updated 9 years ago
- Kalman Variational Auto-Encoder☆135Updated 5 years ago
- ☆69Updated 6 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆107Updated 7 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆48Updated 9 years ago