Bayesian Optimization using GPflow
☆275Dec 2, 2020Updated 5 years ago
Alternatives and similar repositories for GPflowOpt
Users that are interested in GPflowOpt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Gaussian processes in TensorFlow☆1,904Jun 2, 2026Updated last week
- A Bayesian optimization toolbox built on TensorFlow☆251Updated this week
- Gaussian Process Optimization using GPy☆948Jan 17, 2023Updated 3 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆275Feb 4, 2020Updated 6 years ago
- Spearmint Bayesian optimization codebase☆1,569Dec 27, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Gaussian processes framework in python☆2,156Jun 19, 2025Updated 11 months ago
- Code repository for Ensemble Bayesian Optimization☆61Jul 18, 2019Updated 6 years ago
- An open source python library for scalable Bayesian optimisation.☆893Jun 19, 2023Updated 2 years ago
- A fully decentralized hyperparameter optimization framework☆123Jul 18, 2024Updated last year
- Bayesian optimization in PyTorch☆3,543Updated this week
- A Python implementation of global optimization with gaussian processes.☆8,635May 30, 2026Updated last week
- Bayesian optimization for Python☆246Mar 2, 2022Updated 4 years ago
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆655May 27, 2026Updated last week
- ☆232Jul 25, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Jun 8, 2019Updated 7 years ago
- RoBO: a Robust Bayesian Optimization framework☆489Apr 30, 2019Updated 7 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆153Feb 21, 2019Updated 7 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Aug 4, 2013Updated 12 years ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆433Mar 14, 2023Updated 3 years ago
- Parameterization Framework for parameterized model creation and handling.☆50Jun 30, 2025Updated 11 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,888May 29, 2026Updated last week
- Heteroscedastic Bayesian Optimisation in Numpy☆24Feb 15, 2023Updated 3 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,841Mar 18, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- a distributed Hyperband implementation on Steroids☆630Oct 16, 2022Updated 3 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,826Feb 23, 2024Updated 2 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Jun 19, 2024Updated last year
- ☆31Sep 17, 2024Updated last year
- Fast and flexible Gaussian Process regression in Python☆461Apr 13, 2026Updated last month
- Gaussian processes with spherical harmonic features in JAX☆16Aug 24, 2025Updated 9 months ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Jul 27, 2021Updated 4 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Sep 23, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Clustering time series using Gaussian processes and Variational Bayes.☆39May 6, 2020Updated 6 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆46Jul 30, 2024Updated last year
- Backpropagate derivatives through the Cholesky decomposition☆59May 30, 2020Updated 6 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆160Jun 30, 2021Updated 4 years ago
- ☆69Aug 5, 2020Updated 5 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆129Oct 16, 2024Updated last year
- Reference implementation of Optimistic Expected Improvement.☆49May 17, 2020Updated 6 years ago