IPL-UV / rbigLinks
Rotation-Based Iterative Gaussianization algorithm.
☆17Updated 2 years ago
Alternatives and similar repositories for rbig
Users that are interested in rbig are comparing it to the libraries listed below
Sorting:
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Conditional density estimation with neural networks☆31Updated 5 months ago
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- Normalizing Flows using JAX☆83Updated last year
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 5 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated last week
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- Kernels, the machine learning ones☆14Updated 2 years 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 11 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated last year
- Gradient-informed particle MCMC methods☆12Updated last year
- Gaussian Mixture Models in Jax☆20Updated 4 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Fully nonstationary, heteroscedastic GP for Matlab☆15Updated 11 months ago
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆21Updated 4 years ago
- Gaussian processes with spherical harmonic features in JAX☆15Updated last year
- Sequential Neural Likelihood☆40Updated 5 years ago
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Probabilistic deep learning using JAX☆14Updated 4 months ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- ☆36Updated 2 years ago
- Integrals of Gaussians under linear domain constraints☆13Updated 5 years ago