PredictiveIntelligenceLab / JAX-BO
☆30Updated 2 years ago
Alternatives and similar repositories for JAX-BO:
Users that are interested in JAX-BO are comparing it to the libraries listed below
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆11Updated last year
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆43Updated 6 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Turning SymPy expressions into JAX functions☆43Updated 3 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆69Updated 4 years ago
- RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation☆8Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- ☆28Updated 2 years ago
- Nonparametric Differential Equation Modeling☆53Updated 10 months ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆29Updated 6 months ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆21Updated 4 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆99Updated last year
- Probabilistic Solution of Differential Equations☆13Updated 2 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated 4 years ago
- Learning with operator-valued kernels☆22Updated last year
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆27Updated 2 years ago
- ☆15Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- Normalizing Flows using JAX☆82Updated last year
- ☆80Updated 3 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago