thangbui / streaming_sparse_gpLinks
Streaming sparse Gaussian process approximations
☆67Updated 2 years ago
Alternatives and similar repositories for streaming_sparse_gp
Users that are interested in streaming_sparse_gp are comparing it to the libraries listed below
Sorting:
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- Continual Gaussian Processes☆32Updated 2 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆77Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- ☆15Updated 6 years ago
- Sparse Spectrum Gaussian Process Regression☆23Updated 5 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Scalable Gaussian Process Regression with Derivatives☆37Updated 6 years ago
- Online variational GPs☆37Updated 2 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.☆28Updated 7 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆19Updated 5 years ago
- Infinite-horizon Gaussian processes☆33Updated 4 years ago
- Safe Bayesian Optimization☆150Updated 2 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- ☆16Updated 3 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆11Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Updated 6 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆76Updated 4 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆407Updated last year
- Gaussian Online Processes for Python☆20Updated 7 months ago
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆25Updated last year