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:
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 8 months ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Conditional density estimation with neural networks☆33Updated 8 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated last week
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Updated 11 months ago
- A flexible, fast and scalable python library for Self-Organizing Maps☆16Updated last month
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Simulation-based inference benchmark☆102Updated 8 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 last year
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated 8 months ago
- Normalizing Flows using JAX☆84Updated last year
- Gradient-informed particle MCMC methods☆12Updated last year
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 3 weeks ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆60Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- A generic interface for linear algebra backends☆73Updated 7 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆70Updated 3 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- Integrals of Gaussians under linear domain constraints☆15Updated 5 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 2 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago