gpschool / gpss20Links
Gaussian Process and Uncertainty Quantification Summer School 2020
☆33Updated 2 years ago
Alternatives and similar repositories for gpss20
Users that are interested in gpss20 are comparing it to the libraries listed below
Sorting:
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆34Updated 4 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- Computational statistics and machine learning reading group at Imperial College London (2019-2020)☆24Updated 3 months ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- ☆30Updated 2 years ago
- A curated list of resources for learning Gaussian Processes☆39Updated 3 years ago
- probabilistic programming focused on fun☆41Updated 8 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 3 years ago
- Bayesian Regression Models in Pyro☆72Updated 11 months ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆86Updated last year
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 4 years ago
- Normalizing Flows using JAX☆83Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆233Updated last year
- Jax SSM Library☆49Updated 2 years ago
- The code in this repository follows the paper "Stochastic gradient MCMC"☆26Updated 5 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago