PredictiveIntelligenceLab / JAX-BOLinks
☆30Updated 3 years ago
Alternatives and similar repositories for JAX-BO
Users that are interested in JAX-BO are comparing it to the libraries listed below
Sorting:
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- ☆29Updated 2 years ago
- ☆110Updated 4 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 10 months ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Bayesian algorithm execution (BAX)☆50Updated 4 years ago
- Normalizing Flows using JAX☆84Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆36Updated 4 years ago
- Jax SSM Library☆49Updated 2 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago