jameshensman / pythonGPLVMLinks
Implementation of the GPLVM algorithm in python
☆44Updated 15 years ago
Alternatives and similar repositories for pythonGPLVM
Users that are interested in pythonGPLVM are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Input Convex Neural Networks☆295Updated 6 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆405Updated last year
- Structured Inference Networks for Nonlinear State Space Models☆274Updated 7 years ago
- Python library for Recurrent Gaussian Processes☆20Updated 7 years ago
- Python implementation of the PR-SSM.☆51Updated 7 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- ☆96Updated 7 years ago
- ☆12Updated 9 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆140Updated 8 years ago
- Variational Inference by Policy Search☆13Updated 6 years ago
- Kalman Variational Auto-Encoder☆136Updated 6 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆38Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Black Box Variational Inference☆14Updated 10 years ago
- ☆40Updated 6 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 9 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆185Updated 11 years ago
- ☆69Updated 7 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 3 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year