wujian16 / Cornell-MOELinks
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
☆268Updated 5 years ago
Alternatives and similar repositories for Cornell-MOE
Users that are interested in Cornell-MOE are comparing it to the libraries listed below
Sorting:
- Bayesian Optimization using GPflow☆271Updated 4 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆418Updated 2 years ago
- RoBO: a Robust Bayesian Optimization framework☆487Updated 6 years ago
- ☆203Updated last year
- Bayesian neural network package☆149Updated 4 years ago
- ☆238Updated 8 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 12 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 6 years ago
- Bayesian Optimization of Combinatorial Structures☆97Updated 5 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52Updated 3 months ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Surrogate Optimization Toolbox for Python☆212Updated 3 years ago
- Bayesian optimization☆38Updated 5 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆152Updated 4 years ago
- Gaussian Process Optimization using GPy☆947Updated 2 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 6 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆52Updated 6 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆185Updated 11 years ago
- Python code for bayesian optimization using Gaussian processes☆312Updated 8 years ago
- Kernel structure discovery research code - likely to be unstable☆191Updated 10 years ago
- Reference implementation of Optimistic Expected Improvement.☆49Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆66Updated 5 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- A Bayesian optimization toolbox built on TensorFlow☆239Updated 2 weeks ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago