josejimenezluna / pyGPGOLinks
Bayesian optimization for Python
☆246Updated 3 years ago
Alternatives and similar repositories for pyGPGO
Users that are interested in pyGPGO are comparing it to the libraries listed below
Sorting:
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆269Updated 5 years ago
- RoBO: a Robust Bayesian Optimization framework☆485Updated 6 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 10 months ago
- Gaussian Process Optimization using GPy☆943Updated 2 years ago
- Python code for bayesian optimization using Gaussian processes☆313Updated 8 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- ☆233Updated 7 years ago
- Bayesian optimization☆37Updated 5 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 7 years ago
- Collection of jupyter notebooks for demonstrating software.☆167Updated 2 years ago
- Bayesian neural network package☆147Updated 3 years ago
- Surrogate Optimization Toolbox for Python☆210Updated 3 years ago
- ☆69Updated 4 years ago
- Deep Gaussian Processes in Python☆233Updated 4 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Python package for modular Bayesian optimization☆135Updated 4 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated 10 months ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆409Updated 2 years ago
- Better, faster hyper-parameter optimization☆113Updated last year
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 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 10 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆51Updated 2 weeks ago
- Experimental Global Optimization Algorithm☆482Updated 7 years ago
- A Bayesian optimization toolbox built on TensorFlow☆234Updated this week
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆188Updated 3 years ago
- Kernel structure discovery research code - likely to be unstable☆190Updated 9 years ago
- A fully decentralized hyperparameter optimization framework☆123Updated 10 months ago
- Confidence intervals for scikit-learn forest algorithms☆288Updated last month
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago