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
Sorting:
- 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
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Conditional density estimation with neural networks☆31Updated 4 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
- Normalizing Flows using JAX☆83Updated last year
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆18Updated last year
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆21Updated 4 years ago
- Gradient-informed particle MCMC methods☆12Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆56Updated 3 weeks ago
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated last year
- A generic interface for linear algebra backends☆73Updated 2 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated 11 months ago
- RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation☆8Updated 3 years ago
- We got a stew going!☆27Updated last year
- All things Monte Carlo, written in JAX.☆30Updated 2 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 4 months ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Sequential Neural Likelihood☆40Updated 5 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 9 months ago
- Large scale simulation of ODEs or SDEs, analyze time series.☆25Updated 6 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated 3 weeks ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Exponential families for JAX☆69Updated last week
- Convolutions and more as einsum for PyTorch☆16Updated 11 months ago