josejimenezluna / pyGPGO
Bayesian optimization for Python
☆241Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for pyGPGO
- Bayesian Optimization using GPflow☆270Updated 3 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆261Updated 4 years ago
- RoBO: a Robust Bayesian Optimization framework☆483Updated 5 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆247Updated 3 months ago
- Python code for bayesian optimization using Gaussian processes☆308Updated 7 years ago
- Gaussian Process Optimization using GPy☆929Updated last year
- Bayesian neural network package☆138Updated 3 years ago
- Collection of jupyter notebooks for demonstrating software.☆165Updated last year
- ☆229Updated 7 years ago
- ☆69Updated 4 years ago
- Surrogate Optimization Toolbox for Python☆205Updated 3 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆79Updated 4 months ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆178Updated 10 years ago
- Bayesian optimization☆37Updated 4 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆147Updated 3 months ago
- Kernel structure discovery research code - likely to be unstable☆188Updated 9 years ago
- Deep Gaussian Processes in Python☆232Updated 3 years ago
- Bayesian optimization in high-dimensions via random embedding.☆113Updated 11 years ago
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆186Updated 2 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆35Updated 7 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆514Updated 3 years ago
- Functional ANOVA☆122Updated 7 months ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆213Updated 5 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆114Updated 7 years ago
- Python package for modular Bayesian optimization☆134Updated 3 years ago
- Bayesian Optimization of Combinatorial Structures☆96Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- A garden for scikit-learn compatible trees☆285Updated 5 months ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆401Updated last year
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆107Updated 7 years ago