pmorenoz / RecyclableGP
Recyclable Gaussian Processes
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for RecyclableGP
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 5 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- Continual Gaussian Processes☆31Updated last year
- Modular Gaussian Processes☆15Updated 2 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 3 years ago
- Infinite-horizon Gaussian processes☆31Updated 4 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆31Updated 2 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆28Updated 4 months ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 4 years ago
- State-space deep Gaussian processes in Python and Matlab☆29Updated 2 years ago
- ☆24Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆38Updated 3 months ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆28Updated last year
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆20Updated 3 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Python and MATLAB code for Stein Variational sampling methods☆23Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆17Updated 3 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆12Updated this week
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 8 months ago
- ☆15Updated 2 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆43Updated 6 years ago
- Codes for Hilbert space reduced-rank GP regression☆12Updated 5 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆21Updated last year
- Hierarchical Change-Point Detection☆13Updated 6 years ago
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆80Updated 4 months ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆63Updated 5 years ago