alpiges / LinConGaussLinks
Integrals of Gaussians under linear domain constraints
☆15Updated 5 years ago
Alternatives and similar repositories for LinConGauss
Users that are interested in LinConGauss are comparing it to the libraries listed below
Sorting:
- Simulation-based inference benchmark☆107Updated 11 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- ☆16Updated 8 months ago
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- Efficient, lightweight variational inference and approximation bounds☆46Updated 2 months ago
- A generic interface for linear algebra backends☆75Updated last month
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Gaussian Processes for Sequential Data☆19Updated 5 years ago
- Conditional density estimation with neural networks☆35Updated 11 months ago
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Exponential families for JAX☆75Updated this week
- Inference Combinators in JAX☆52Updated 7 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- probabilistic programming focused on fun☆49Updated last week
- ☆52Updated 2 years ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆34Updated 3 years ago
- State of the art inference for your bayesian models.☆231Updated 7 months ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Just a little MCMC☆234Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago