wujian16 / Cornell-MOELinks
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
☆272Updated 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☆272Updated 5 years ago
- RoBO: a Robust Bayesian Optimization framework☆489Updated 6 years ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆423Updated 2 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- Bayesian neural network package☆153Updated 4 years ago
- ☆217Updated last year
- ☆243Updated 8 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Updated 12 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆188Updated 11 years ago
- Code repository for Ensemble Bayesian Optimization☆55Updated 6 years ago
- Bayesian optimization☆38Updated 6 years ago
- Surrogate Optimization Toolbox for Python☆214Updated 4 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆157Updated 4 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆52Updated 6 years ago
- Python code for bayesian optimization using Gaussian processes☆314Updated 9 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆217Updated 6 years ago
- Kernel structure discovery research code - likely to be unstable☆195Updated 10 years ago
- Gaussian Process Optimization using GPy☆950Updated 2 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆83Updated last year
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Updated 6 years ago
- Bayesian Optimization of Combinatorial Structures☆99Updated 6 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52Updated 7 months ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Updated 3 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- A Bayesian optimization toolbox built on TensorFlow☆243Updated 2 months ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago