pyro-ppl / pyroed
Bayesian optimization of discrete sequences
☆19Updated 2 years ago
Related projects: ⓘ
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆21Updated 11 months ago
- Bayesian algorithm execution (BAX)☆46Updated 3 years ago
- Graph Learning with JAX☆14Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆94Updated 10 months ago
- A generic interface for linear algebra backends☆68Updated 2 months ago
- Pre-trained Gaussian processes for Bayesian optimization☆78Updated 2 weeks ago
- Normalizing Flows using JAX☆82Updated 9 months ago
- Generic API for dispatch to Pyro backends.☆16Updated 2 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆82Updated 4 months ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆11Updated 9 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆65Updated 3 years ago
- Tutorials and sampling algorithm comparisons☆67Updated this week
- ☆12Updated 2 years ago
- ☆49Updated last year
- Bayesian optimization with conformal coverage guarantees☆26Updated last year
- Exponential families for JAX☆54Updated last week
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 2 years ago
- Efficient, lightweight variational inference and approximation bounds☆39Updated 9 months ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆67Updated last year
- ☆24Updated this week
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆17Updated 2 years ago
- Inference Combinators in JAX☆42Updated 2 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆37Updated last month
- Tools for JAX☆44Updated last week
- Public code for running Stochastic Gradient Descent on GPs.☆31Updated 5 months ago
- A Simple Statistical Distribution Library in JAX☆16Updated 5 months ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 3 years ago
- Learning with operator-valued kernels☆21Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆20Updated 3 years ago