baptistar / BOCSLinks
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
Sorting:
- Bayesian optimization in high-dimensions via random embedding.☆115Updated 12 years ago
- ☆50Updated last year
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆15Updated 6 years ago
- Code repository for Ensemble Bayesian Optimization☆54Updated 6 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆78Updated 3 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- Surrogate Optimization Toolbox for Python☆212Updated 3 years ago
- ☆207Updated last year
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52Updated 4 months ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆43Updated 4 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆102Updated 5 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 6 years ago
- Bayesian neural network package☆151Updated 4 years ago
- constrained/unconstrained multi-objective bayesian optimization package.☆47Updated 2 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆42Updated 6 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 8 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆154Updated 4 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 7 years ago
- Numerical Black-Box Optimization Benchmarking Framework☆289Updated 8 months ago
- Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method☆27Updated 2 months ago
- Multi-Information Source Optimization☆24Updated 6 years ago
- Starter kit for the black box optimization challenge at Neurips 2020☆113Updated 5 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
- ☆85Updated 2 years ago
- The tree-structured Parzen estimator (TPE) implementation and the simple running code for it☆69Updated 11 months ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago