google-research / hyperbo
Pre-trained Gaussian processes for Bayesian optimization
☆86Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for hyperbo
- ☆25Updated 2 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆47Updated 6 months ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆69Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated last year
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆22Updated 8 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆66Updated 4 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆120Updated last month
- A Bayesian optimization toolbox built on TensorFlow☆226Updated 2 weeks ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆38Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆119Updated 2 years ago
- ☆191Updated 6 months ago
- Public code for running Stochastic Gradient Descent on GPs.☆34Updated 3 weeks ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆107Updated this week
- Simple (and cheap!) neural network uncertainty estimation☆55Updated 2 months ago
- Bayesian algorithm execution (BAX)☆48Updated 3 years ago
- Parameter-Free Optimizers for Pytorch☆109Updated 6 months ago
- ☆145Updated 2 years ago
- ☆128Updated this week
- ☆15Updated 8 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆94Updated 2 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆17Updated 2 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated last year
- ☆15Updated 2 years ago
- ☆105Updated 2 weeks ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆36Updated 3 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆11Updated 11 months ago
- Bayesian inference with Python and Jax.☆31Updated last year