baptistar / BOCS
Bayesian Optimization of Combinatorial Structures
☆97Updated 5 years ago
Alternatives and similar repositories for BOCS:
Users that are interested in BOCS are comparing it to the libraries listed below
- Max-value Entropy Search for Efficient Bayesian Optimization☆74Updated 3 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆14Updated 6 years ago
- Bayesian neural network package☆147Updated 3 years ago
- ☆51Updated 9 months ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 4 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 5 years ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆29Updated 8 years ago
- Bayesian optimization☆37Updated 5 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆50Updated 10 months ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆269Updated 5 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆100Updated 4 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- Multi-Information Source Optimization☆23Updated 5 years ago
- A Bayesian optimization toolbox built on TensorFlow☆230Updated 2 weeks ago
- constrained/unconstrained multi-objective bayesian optimization package.☆44Updated 2 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆40Updated 8 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 7 years ago
- Deep Gaussian Processes in matlab☆92Updated 3 years ago
- ☆192Updated 9 months ago
- Gaussian processes with PyTorch☆30Updated 3 years ago