google-research / gpaxLinks
☆31Updated last year
Alternatives and similar repositories for gpax
Users that are interested in gpax are comparing it to the libraries listed below
Sorting:
- Pre-trained Gaussian processes for Bayesian optimization☆100Updated 3 weeks ago
- Bayesian algorithm execution (BAX)☆55Updated 4 years ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Normalizing Flows using JAX☆86Updated 2 years ago
- Bayesian inference with Python and Jax.☆34Updated 3 years ago
- ☆52Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated 2 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆45Updated 2 years ago
- ☆30Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Turning SymPy expressions into PyTorch modules.☆156Updated 2 years ago
- ☆80Updated 4 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆102Updated 9 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 6 months ago
- A generic interface for linear algebra backends☆76Updated 2 months ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆164Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- Turn jitted jax functions back into python source code☆23Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆123Updated last month
- Tidy autoregressive inference in JAX☆15Updated 4 months ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- Multiple dispatch over abstract array types in JAX.☆136Updated last month
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- ☆112Updated 4 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 5 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 9 months ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Updated 4 years ago