gpschool / gpss20Links
Gaussian Process and Uncertainty Quantification Summer School 2020
☆33Updated 3 years ago
Alternatives and similar repositories for gpss20
Users that are interested in gpss20 are comparing it to the libraries listed below
Sorting:
- A curated list of resources for learning Gaussian Processes☆40Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆94Updated 4 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆21Updated 4 years ago
- Tutorials and sampling algorithm comparisons☆79Updated this week
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Efficient, lightweight variational inference and approximation bounds☆46Updated 2 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆60Updated last year
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- Jax SSM Library☆48Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated 2 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 11 months ago
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- Talks from Neil Lawrence☆54Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- Bayesian Regression Models in Pyro☆73Updated last year
- ☆12Updated 3 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 4 years ago
- Computational statistics and machine learning reading group at Imperial College London (2019-2020)☆24Updated last month
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- ☆155Updated 3 years ago
- A generic interface for linear algebra backends☆75Updated last month
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago