alpiges / LinConGauss
Integrals of Gaussians under linear domain constraints
☆13Updated 5 years ago
Alternatives and similar repositories for LinConGauss
Users that are interested in LinConGauss are comparing it to the libraries listed below
Sorting:
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Conditional density estimation with neural networks☆31Updated 3 months ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated 2 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- Normalizing Flows using JAX☆83Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- probabilistic programming focused on fun☆40Updated 6 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 9 months ago
- Sequential Neural Likelihood☆40Updated 5 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆12Updated 6 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Posterior with interesting shapes from actually used models☆13Updated 3 months ago
- Simulation-based inference benchmark☆96Updated 3 months ago
- Exponential families for JAX☆69Updated last week
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 5 months ago
- A repository to learn about Flows, mostly from papers☆20Updated 4 years ago
- some scripts for the couplings enthusiasts!☆32Updated 4 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- ☆15Updated last month
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- A simple library to run variational inference on Stan models.☆30Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated 4 years ago