pmorenoz / RecyclableGPLinks
Recyclable Gaussian Processes
☆11Updated 2 years ago
Alternatives and similar repositories for RecyclableGP
Users that are interested in RecyclableGP are comparing it to the libraries listed below
Sorting:
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 4 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Continual Gaussian Processes☆32Updated 2 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 7 months ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- ☆26Updated 5 years ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Code for "Deep Signature Transforms" (NeurIPS 2019)☆96Updated last year
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- ☆51Updated last year
- We got a stew going!☆27Updated last year
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 4 months ago
- Particle filtering and sequential parameter inference in Python☆83Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- ☆46Updated 2 years ago
- ☆14Updated 2 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year