IPL-UV / rbig
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
- Conditional density estimation with neural networks☆30Updated 2 months ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆63Updated 2 months ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 8 months ago
- A framework for composing Neural Processes in Julia☆76Updated 3 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆58Updated 9 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆61Updated 9 months ago
- Kernels, the machine learning ones☆14Updated 2 years ago
- Normalizing Flows using JAX☆83Updated last year
- Gradient-informed particle MCMC methods☆11Updated last year
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated last year
- Public code for running Stochastic Gradient Descent on GPs.☆36Updated 5 months ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆18Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 2 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆10Updated last year
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated last year
- Integrals of Gaussians under linear domain constraints☆13Updated 5 years ago
- A generic interface for linear algebra backends☆73Updated last month
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated last month
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆21Updated 4 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆44Updated this week
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆11Updated 5 months ago
- Jax SSM Library☆49Updated 2 years ago
- Gaussian processes with spherical harmonic features in JAX☆14Updated last year
- A framework for composing Neural Processes in Python☆83Updated 3 months ago
- A simple library to run variational inference on Stan models.☆30Updated last year
- Interactive textbook on state space models☆12Updated 2 years ago